WO2018025381A1 - Parking lot monitoring system - Google Patents

Parking lot monitoring system Download PDF

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Publication number
WO2018025381A1
WO2018025381A1 PCT/JP2016/072987 JP2016072987W WO2018025381A1 WO 2018025381 A1 WO2018025381 A1 WO 2018025381A1 JP 2016072987 W JP2016072987 W JP 2016072987W WO 2018025381 A1 WO2018025381 A1 WO 2018025381A1
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WO
WIPO (PCT)
Prior art keywords
vehicle
parking
parking space
image
unit
Prior art date
Application number
PCT/JP2016/072987
Other languages
French (fr)
Japanese (ja)
Inventor
光亮 藤平
Original Assignee
三菱電機株式会社
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Filing date
Publication date
Application filed by 三菱電機株式会社 filed Critical 三菱電機株式会社
Priority to PCT/JP2016/072987 priority Critical patent/WO2018025381A1/en
Publication of WO2018025381A1 publication Critical patent/WO2018025381A1/en

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    • E—FIXED CONSTRUCTIONS
    • E04—BUILDING
    • E04H—BUILDINGS OR LIKE STRUCTURES FOR PARTICULAR PURPOSES; SWIMMING OR SPLASH BATHS OR POOLS; MASTS; FENCING; TENTS OR CANOPIES, IN GENERAL
    • E04H6/00—Buildings for parking cars, rolling-stock, aircraft, vessels or like vehicles, e.g. garages
    • E04H6/42—Devices or arrangements peculiar to garages, not covered elsewhere, e.g. securing devices, safety devices, monitoring and operating schemes; centering devices
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T7/00—Image analysis
    • G06T7/20—Analysis of motion
    • G—PHYSICS
    • G08—SIGNALLING
    • G08G—TRAFFIC CONTROL SYSTEMS
    • G08G1/00—Traffic control systems for road vehicles
    • G08G1/14—Traffic control systems for road vehicles indicating individual free spaces in parking areas

Definitions

  • the present invention relates to a parking lot monitoring system.
  • Patent Document 1 describes a parking lot management method.
  • this management method the presence or absence of a vehicle in the parking space is determined based on an image of the parking space on which a circle is drawn.
  • Patent Document 1 The method described in Patent Document 1 can determine whether or not a vehicle is present, but cannot determine whether or not the vehicle is illegally parked.
  • the present invention has been made to solve the above problems.
  • the purpose is to provide a parking lot monitoring system that can determine whether or not a vehicle is illegally parked.
  • the vehicle is properly parked based on a vehicle detection unit that detects a vehicle present in the parking space and a ratio of the vehicle detected by the vehicle detection unit in the parking space. And a parking determination unit that determines whether or not
  • the parking determination unit determines whether or not the vehicle is properly parked based on the proportion of the parking space occupied by the vehicle detected by the vehicle detection unit. For this reason, according to this invention, it can be determined whether the vehicle is parked illegally.
  • FIG. 1 is a configuration diagram of a parking lot monitoring system in Embodiment 1.
  • FIG. 3 is a first plan view showing a parking space in the first embodiment.
  • FIG. 6 is a second plan view showing a parking space in the first embodiment.
  • FIG. 10 is a third plan view showing a parking space in the first embodiment.
  • FIG. 6 is a fourth plan view showing a parking space in the first embodiment.
  • 4 is a flowchart showing an operation example of the parking lot monitoring system in the first embodiment.
  • 5 is a flowchart illustrating an example of parking determination in the first embodiment.
  • FIG. 10 is a first plan view showing a parking space in a second embodiment. It is a 2nd top view which shows the parking space in Embodiment 2.
  • 10 is a third plan view showing a parking space in the second embodiment.
  • FIG. 10 is a fourth plan view showing a parking space in the second embodiment.
  • 10 is a flowchart illustrating an example of parking determination in the second embodiment. It is a block diagram of the parking lot monitoring system in Embodiment 3.
  • 10 is a flowchart illustrating an operation example of the parking lot monitoring system according to the third embodiment. It is a hardware block diagram of a parking lot monitoring system.
  • FIG. 1 is a configuration diagram of a parking lot monitoring system according to the first embodiment.
  • the parking lot monitoring system includes an imaging device 1, a recording device 2, and a display device 3.
  • the imaging device 1 is, for example, a camera installed in a parking lot.
  • the recording device 2 is, for example, a recorder that can communicate with the imaging device 1.
  • the display device 3 is, for example, a personal computer that can communicate with the recording device 2.
  • the display device 3 is installed in a place where it can be visually recognized by, for example, a parking lot monitor and a guard.
  • the imaging apparatus 1 includes a shooting parameter storage unit 4 and an image shooting unit 5.
  • the recording device 2 includes a recording parameter storage unit 6, an image storage unit 7, an image analysis unit 8, and a parking determination unit 9.
  • the display device 3 includes a display parameter storage unit 10, an image display unit 11, a determination result display unit 12, and a display control unit 13.
  • the image display unit 11 and the determination result display unit 12 may be integrally formed.
  • FIG. 2 is a first plan view showing the parking space in the first embodiment.
  • FIG. 2 shows a case where there is no vehicle in the parking space 14.
  • the parking space 14 is set to a size that allows one vehicle to park, for example.
  • a plurality of marks 15 are provided on the floor surface in the parking space 14.
  • FIG. 2 illustrates a case where eight marks 15 are provided in the parking space 14.
  • the plurality of marks 15 are arranged, for example, so as to be arranged at regular intervals.
  • the mark 15 is, for example, a point drawn on the floor surface.
  • the mark 15 exhibits a color different from the color of the floor surface of the parking lot, for example.
  • FIG. 3 is a second plan view showing the parking space in the first embodiment.
  • FIG. 4 is a third plan view showing the parking space in the first embodiment.
  • FIG. 5 is a fourth plan view showing the parking space in the first embodiment. 3 to 5 show a case where the vehicle 16 is present in the parking space 14.
  • FIG. 3 shows a state in which the vehicle 16 is moving in order to park in the parking space 14. That is, the vehicle 16 shown in FIG. 3 is continuing the parking act.
  • FIG. 4 shows a state in which the vehicle 16 is stopped so that the entire vehicle body is located in the parking space 14. That is, the vehicle 16 shown in FIG. 4 is properly parked in the parking space 14. As shown in FIG. 4, when the vehicle 16 is properly parked, all of the plurality of marks 15 are hidden by the vehicle 16.
  • parking the vehicle 16 so that the entire vehicle body is located in the parking space 14 is also referred to as “appropriate parking”.
  • FIG. 5 shows a state where the vehicle 16 is stopped so that only a part of the vehicle body is located in the parking space 14. That is, the vehicle 16 shown in FIG. 5 is not properly parked in the parking space 14. As shown in FIG. 5, when the vehicle 16 is not properly parked, some of the plurality of marks 15 are not hidden by the vehicle 16.
  • parking the vehicle 16 so that only a part of the vehicle body is located in the parking space 14 is also referred to as “illegal parking”.
  • the imaging device 1 is disposed, for example, above the parking space 14.
  • the position and orientation of the imaging device 1 are set so as to include the parking space 14 in the shooting range.
  • Each mark 15 is provided at a position hidden from the vehicle when the vehicle is properly parked in the parking space 14 when viewed from the position of the imaging device 1.
  • the shooting parameter storage unit 4 stores in advance the time interval for shooting and the image quality of the shot image.
  • the image photographing unit 5 photographs an image in the photographing range based on the settings stored in the photographing parameter storage unit 4.
  • the imaging device 1 transmits the image captured by the image capturing unit 5 to the recording device 2.
  • the recording parameter storage unit 6 stores in advance the time interval for recording and the image quality of recorded images.
  • the image storage unit 7 stores the image transmitted from the imaging device 1 as image data based on the settings stored in the recording parameter storage unit 6.
  • the image analysis unit 8 performs image analysis of the image stored in the image storage unit 7. In the first embodiment, the image analysis unit 8 detects the number of marks 15 shown in the image.
  • the detection of the number of marks 15 by the image analysis unit 8 is performed based on the color of a specific part of the image, for example.
  • RGB values indicating coordinates and colors corresponding to the positions of the marks 15 are registered in the recording device 2 in advance.
  • the image analysis unit 8 acquires the color of the coordinate corresponding to the position of the mark 15 in the image captured by the imaging device 1 as an RGB value.
  • the image analysis unit 8 determines whether or not the RGB value acquired from the coordinates of the image matches the RGB value registered in advance. This determination is performed for each coordinate corresponding to the position of each mark 15 in the image. That is, this determination is repeatedly performed by the number of marks 15 actually provided in the parking space 14.
  • the image analysis unit 8 detects the total number of times when it is determined that the RGB value acquired from the image matches the RGB value registered in advance as the number of marks 15 in the image.
  • the number of marks 15 that are different from the total number of marks 15 provided in the parking space 14 is detected by the image analysis unit 8 means that one or more marks 15 are hidden by the vehicle 16. That is, for example, the image analysis unit 8 functions as a vehicle detection unit that detects the vehicle 16 in which at least a part of the vehicle body exists in the parking space 14 for one vehicle.
  • the number of marks 15 detected by the image analysis unit 8 is equal to the total number of marks 15 provided in the parking space 14.
  • the number of marks 15 detected by the image analysis unit 8 is zero.
  • the number of marks 15 detected by the image analysis unit 8 is smaller than the total number of marks 15 and is not zero.
  • the number of marks 15 detected by the image analysis unit 8 is information representing the proportion of the parking space 14 occupied by the vehicle 16.
  • the image analysis unit 8 determines whether there is a change in the state of the shooting range based on the number of marks 15 shown in the image. For example, when the number of the second new image mark 15 is the same as the number of the latest image mark 15, the image analysis unit 8 determines “no change”. For example, if the number of the second new image mark 15 is different from the number of the latest image mark 15, the image analysis unit 8 determines “changed”.
  • the case where the situation of the shooting range changes is, for example, a case where the vehicle 16 is parking.
  • the image analysis unit 8 determines whether or not the vehicle 16 has completed the parking action based on the number of marks 15 shown in the image.
  • the image analysis unit 8 determines that the vehicle 16 is continuing the parking action while the number of detected marks 15 is changing within a preset first time.
  • the first time is, for example, 10 seconds.
  • the image analysis unit 8 determines that the vehicle 16 has completed the parking action when the number of the detected marks 15 has not changed for a preset second time or more.
  • the second time is, for example, 60 seconds. That is, the image analysis unit 8 determines whether or not the vehicle 16 has completed the parking action based on the presence or absence of a change in the proportion of the parking space 14 occupied by the vehicle 16.
  • the parking determination unit 9 performs parking determination of the vehicle 16 when the image analysis unit 8 determines that the vehicle 16 has completed the parking action.
  • the parking determination unit 9 does not perform the parking determination of the vehicle 16 while the image analysis unit 8 determines that the vehicle 16 is continuing the parking action.
  • Parking determination is determining whether the vehicle 16 is parked appropriately.
  • the determination result of the parking determination is expressed as, for example, any parking situation among appropriate parking, unauthorized parking, and empty vehicle.
  • the parking determination unit 9 performs parking determination based on the number of marks 15 detected from the image by the image analysis unit 8. That is, the parking determination unit 9 performs parking determination based on the ratio of the parking space 14 to the vehicle 16.
  • the recording device 2 transmits the image subjected to the parking determination and the determination result of the parking determination to the display device 3.
  • the display parameter storage unit 10 stores in advance the time interval for display and the image quality of display.
  • the image display unit 11 and the determination result display unit 12 have a function of displaying information.
  • the display control unit 13 causes the image display unit 11 and the determination result display unit 12 to display information based on the settings stored in the display parameter storage unit 10.
  • the display control unit 13 causes the image display unit 11 to display an image subjected to parking determination.
  • the display control unit 13 causes the determination result display unit 12 to display information indicating the determination result of the parking determination.
  • FIG. 6 is a flowchart showing an operation example of the parking lot monitoring system according to the first embodiment.
  • the imaging device 1 captures an image (step S101) and transmits the image to the recording device 2 (step S102).
  • the recording device 2 receives the image (step S103) and performs image analysis (step S104).
  • the recording device 2 determines whether or not there is a change in the shooting range (step S105). If it is determined in step S105 that there is no change, the imaging, transmission / reception, and analysis, which are the processes in steps S101 to S104, are repeated.
  • step S105 If it is determined that there is no change in step S105, it means that the parking action has not started. On the other hand, when it is determined in step S105 that there is a change, it means that the parking action is started.
  • step S105 If it is determined in step S105 that there is a change, the imaging device 1 captures an image (step S106) and transmits the image to the recording device 2 (step S107).
  • the recording device 2 receives the image (step S108) and performs image analysis (step S109).
  • the recording device 2 determines whether there is a change in the situation of the shooting range (step S110). If it is determined in step S110 that there is a change, the imaging, transmission / reception, and analysis, which are the processes from step S106 to step S109, are repeated.
  • step S110 It is determined in step S110 that there is a change means that the parking action is ongoing. On the other hand, determining that there is no change in step S110 means that the parking act has been completed.
  • step S110 When it is determined in step S110 that there is no change, the recording device 2 performs parking determination (step S111) and transmits the determination result to the display device 3 (step S112).
  • the display device 3 receives the determination result (step S113), and displays information indicating the determination result on the determination result display unit 12 (step S114). Further, the display control unit 13 causes the image display unit 11 to display an image subjected to parking determination.
  • FIG. 7 is a flowchart showing an example of parking determination in the first embodiment.
  • the parking determination part 9 determines whether all the marks 15 are hidden (step S201). That is, in step S201, it is determined whether or not the number of marks 15 detected by the image analysis unit 8 is zero. When it is determined in step S201 that all the marks 15 are hidden, the parking determination unit 9 determines that the vehicle 16 is properly parked in the parking space 14 (step S202).
  • step S203 determines whether only some of the marks 15 are hidden. That is, in step S203, it is determined whether or not the number of marks 15 detected by the image analysis unit 8 is less than the total number and not zero.
  • step S204 determines that the vehicle 16 is illegally parked in the parking space 14 (step S204).
  • step S203 It is determined in step S203 that only some of the marks 15 are not hidden means that all the marks 15 are visible. In this case, the parking determination unit 9 determines that the parking space 14 is an empty vehicle (step S205).
  • the vehicle detection unit detects the vehicle 16 in which at least a part of the vehicle body exists in the parking space 14 for one vehicle.
  • the parking determination unit 9 determines whether or not the vehicle 16 is properly parked based on the proportion of the parking space 14 occupied by the vehicle 16 detected by the vehicle detection unit. For this reason, according to Embodiment 1, in addition to the presence or absence of a parked vehicle, it can be determined whether the vehicle is illegally parked.
  • the vehicle detection unit determines that the vehicle 16 is continuing the parking action while the ratio of the parking space 14 occupied by the vehicle 16 changes within a certain time.
  • the parking determination unit 9 does not determine whether or not the vehicle 16 is properly parked while the vehicle detection unit determines that the vehicle 16 is continuing the parking action. For this reason, according to Embodiment 1, it can prevent misjudging that the vehicle of the state which has not completed the parking act is illegally parked.
  • the vehicle detection unit determines that the vehicle 16 has completed the parking action when the proportion of the parking space 14 occupied by the vehicle 16 has not changed for a certain period of time.
  • the parking determination unit 9 determines whether or not the vehicle 16 is properly parked after the vehicle detection unit determines that the vehicle 16 has completed the parking action. For this reason, according to Embodiment 1, a parking condition can be determined about the vehicle of the state which the parking act was completed.
  • the vehicle detection unit is an image analysis unit 8 that analyzes an image photographed by the imaging device 1 including the parking space 14 in the photographing range.
  • the floor surface of the parking space 14 has a plurality of marks 15 provided at positions hidden by the vehicle 16 in a state where the vehicle 16 is properly parked.
  • the image analysis unit 8 detects the number of marks 15 shown in the image taken by the imaging device 1 as information representing the proportion of the parking space 14 occupied by the vehicle 16.
  • the parking determination unit 9 determines whether or not the vehicle 16 is properly parked in the parking space 14 based on the number of marks 15 detected by the image analysis unit 8.
  • Embodiment 1 it is possible to realize a parking lot monitoring system capable of detecting not only the presence of a vehicle but also unauthorized parking by simple image analysis. As a result, for example, unauthorized parking can be efficiently discovered with a simple device configuration and arithmetic processing without using dedicated software.
  • the display device 3 displays an image captured by the imaging device 1 and information indicating a determination result by the parking determination unit 9 for the image. For this reason, according to Embodiment 1, it is possible to notify the parking situation in an easily understandable manner to, for example, a parking lot monitor and a guard.
  • the image analysis unit 8 may detect the number of marks 15 that are not shown in the image.
  • the image analysis unit 8 may determine whether or not the vehicle 16 has completed the parking action based on the number of marks 15 that are not shown in the image.
  • the parking determination unit 9 may perform parking determination based on the number of marks 15 that are not detected from the image by the image analysis unit 8. That is, the parking determination unit 9 may determine whether or not the vehicle 16 is properly parked based on the proportion of the parking space 14 that is not occupied by the vehicle 16 detected by the vehicle detection unit. Even in this case, in addition to the presence or absence of a parked vehicle, it can be determined whether or not the vehicle is illegally parked.
  • Embodiment 2 FIG. Hereinafter, the configuration of the parking lot monitoring system will be described focusing on the differences from the first embodiment. Parts that are the same as or equivalent to those in the first embodiment are given the same reference numerals, and a part of the description is omitted.
  • the configuration diagram of the parking lot monitoring system in the second embodiment is the same as FIG.
  • FIG. 8 is a first plan view showing a parking space in the second embodiment.
  • FIG. 8 shows a case where there is no vehicle in the parking space 14.
  • the floor surface in the parking space 14 has a pattern such as a striped pattern or a checkered pattern, for example.
  • FIG. 8 illustrates a case where the parking space 14 has a striped pattern.
  • the pattern of the parking space 14 is, for example, a repeated pattern drawn on the floor surface.
  • the pattern of the parking space 14 includes, for example, at least one color different from the color of the floor surface of the parking lot.
  • FIG. 9 is a second plan view showing the parking space in the second embodiment.
  • FIG. 10 is a third plan view showing a parking space in the second embodiment.
  • FIG. 11 is a fourth plan view showing a parking space in the second embodiment. 9 to 11 illustrate a case where the vehicle 16 is present in the parking space 14.
  • FIG. 9 shows a state where the vehicle 16 is continuing the parking act.
  • FIG. 10 shows a state where the vehicle 16 is properly parked.
  • FIG. 11 shows a state where the vehicle 16 is illegally parked.
  • the imaging device 1 is disposed, for example, above the parking space 14.
  • the position and orientation of the imaging device 1 are set so as to include the parking space 14 in the shooting range.
  • the pattern of the parking space 14 is formed so that most of the pattern is hidden by the vehicle when the vehicle is properly parked in the parking space 14 when viewed from the position of the imaging device 1.
  • the major part is, for example, an area of 80% or more of the entire pattern.
  • the image analysis unit 8 performs image analysis of the image stored in the image storage unit 7.
  • the image analysis unit 8 detects the area of the pattern shown in the image.
  • the area detected from the image may be represented by, for example, the number of pixels or a percentage of the entire image.
  • the detection of the pattern area by the image analysis unit 8 is performed based on each color included in the image, for example.
  • RGB values indicating all colors forming the pattern are registered in the recording device 2 in advance.
  • the image analysis unit 8 acquires each color included in the image captured by the imaging device 1 as an RGB value.
  • the image analysis unit 8 determines whether the color acquired from the image matches the RGB value registered in advance.
  • the image analysis unit 8 detects the total area occupied by the color that matches the RGB value registered in advance among the colors acquired from the image as the area of the pattern shown in the image.
  • the fact that the image analysis unit 8 detects an area different from the area of the pattern actually formed in the parking space 14 means that at least a part of the pattern is hidden by the vehicle 16. That is, for example, the image analysis unit 8 functions as a vehicle detection unit that detects the vehicle 16 in which at least a part of the vehicle body exists in the parking space 14 for one vehicle.
  • the area of the pattern detected by the image analysis unit 8 is equal to the area of the entire pattern formed in the parking space 14.
  • the area of the pattern detected by the image analysis unit 8 is a partial area of the entire pattern formed in the parking space 14.
  • the area detected when the vehicle 16 is properly parked is, for example, less than 20% of the entire pattern area.
  • the area of the pattern detected by the image analysis unit 8 is larger than the area of a part of the entire pattern and is not equal to the area of the entire pattern.
  • the area detected when the vehicle 16 is illegally parked is, for example, 20% to 99% of the area of the entire pattern.
  • the area of the pattern detected by the image analysis unit 8 is information representing the proportion of the parking space 14 occupied by the vehicle 16.
  • the image analysis unit 8 determines whether there is a change in the situation of the shooting range based on the area of the pattern reflected in the image. For example, when the area of the pattern of the second new image is the same as the area of the pattern of the latest image, the image analysis unit 8 determines “no change”. For example, when the area of the pattern of the second new image is different from the area of the pattern of the latest image, the image analysis unit 8 determines that “there is a change”.
  • the case where the situation of the shooting range changes is, for example, a case where the vehicle 16 is parking.
  • the image analysis unit 8 determines whether or not the vehicle 16 has completed the parking action based on the area of the pattern shown in the image.
  • the image analysis unit 8 determines that the vehicle 16 is continuing the parking action while the area of the detected pattern is changing within the preset first time.
  • the first time is, for example, 10 seconds.
  • the image analysis unit 8 determines that the vehicle 16 has completed the parking action when the area of the detected pattern has not changed for a preset second time or more.
  • the second time is, for example, 60 seconds. That is, the image analysis unit 8 determines whether or not the vehicle 16 has completed the parking action based on the presence or absence of a change in the proportion of the parking space 14 occupied by the vehicle 16.
  • the parking determination unit 9 performs parking determination based on the area of the pattern detected from the image by the image analysis unit 8. That is, the parking determination unit 9 performs parking determination based on the ratio of the parking space 14 to the vehicle 16.
  • the recording device 2 transmits the image subjected to the parking determination and the determination result of the parking determination to the display device 3.
  • a flowchart showing an operation example of the parking lot monitoring system in the second embodiment is the same as that in FIG.
  • FIG. 12 is a flowchart showing an example of parking determination in the second embodiment.
  • the parking determination unit 9 determines whether most of the pattern is hidden (step S301). That is, in step S301, it is determined whether or not the area of the pattern detected by the image analysis unit 8 is smaller than a preset value. When it is determined in step S301 that most of the pattern is hidden, the parking determination unit 9 determines that the vehicle 16 is properly parked in the parking space 14 (step S302).
  • step S303 determines whether only a part of the pattern is hidden. That is, in step S303, it is determined whether or not the area of the pattern detected by the image analysis unit 8 is equal to or larger than a preset value and is not equal to the area of the entire pattern.
  • the parking determination unit 9 determines that the vehicle 16 is illegally parked in the parking space 14 (step S304).
  • step S303 It is determined in step S303 that only a part of the pattern is not hidden means that the entire pattern is visible. In this case, the parking determination unit 9 determines that the parking space 14 is an empty vehicle (step S305).
  • the vehicle detection unit is an image analysis unit 8 that analyzes an image captured by the imaging device 1 including the parking space 14 in the imaging range.
  • the floor surface of the parking space 14 has a pattern.
  • the image analysis unit 8 detects the area of the pattern shown in the image taken by the imaging device 1 as information representing the proportion of the parking space 14 occupied by the vehicle 16.
  • the parking determination unit 9 determines whether or not the vehicle 16 is properly parked in the parking space 14 based on the area of the pattern detected by the image analysis unit 8. For this reason, according to Embodiment 2, it is possible to realize a parking lot monitoring system capable of detecting not only the presence of a vehicle but also unauthorized parking by simple image analysis. As a result, for example, unauthorized parking can be efficiently discovered with a simple device configuration and arithmetic processing without using dedicated software.
  • the parking lot monitoring system in the second embodiment includes a configuration common to the first embodiment. For this reason, according to Embodiment 2, the effect based on the said structure is acquired similarly to Embodiment 1.
  • FIG. 1 the effect based on the said structure is acquired similarly to Embodiment 1.
  • the image analysis unit 8 may detect the area of the pattern that is not reflected in the image.
  • the image analysis unit 8 may determine whether or not the vehicle 16 has completed the parking action based on the area of the pattern not shown in the image.
  • the parking determination unit 9 may perform parking determination based on the area of the pattern that has not been detected from the image by the image analysis unit 8. That is, the parking determination unit 9 may determine whether or not the vehicle 16 is properly parked based on the proportion of the parking space 14 that is not occupied by the vehicle 16 detected by the vehicle detection unit. Even in this case, in addition to the presence or absence of a parked vehicle, it can be determined whether or not the vehicle is illegally parked.
  • the imaging device 1 may shorten the image capturing interval while the vehicle 16 is performing the parking action, compared to when the vehicle 16 is not performing the parking action.
  • the recording device 2 may shorten the image recording interval while the vehicle 16 is performing the parking action, compared to when the vehicle 16 is not performing the parking action. In these cases, erroneous determination of the parking situation can be further suppressed.
  • Embodiment 3 FIG.
  • the configuration of the parking lot monitoring system will be described focusing on the differences from the first and second embodiments. Parts that are the same as or correspond to those in the first or second embodiment are denoted by the same reference numerals, and a part of the description is omitted.
  • FIG. 13 is a configuration diagram of the parking lot monitoring system according to the third embodiment.
  • the parking lot monitoring system includes a detection device 17 and a display determination device 18.
  • the detection device 17 is, for example, a sensor installed in a parking lot.
  • the display determination device 18 is, for example, a personal computer that can communicate with the detection device 17.
  • the display device 3 is installed in a place where it can be visually recognized by, for example, a parking lot monitor and a guard.
  • the detection device 17 includes a detection parameter storage unit 19 and a detection determination unit 20.
  • the display determination device 18 includes a parking determination unit 9, a display parameter storage unit 10, a determination result display unit 12, and a display control unit 13.
  • the detection device 17 is disposed above the parking space 14, for example.
  • the detection device 17 detects the presence or absence of an object using, for example, light such as infrared rays.
  • the detection device 17 detects the presence or absence of an object at a plurality of positions in the parking space 14.
  • the detection device 17 may be capable of detecting an object at the plurality of positions as a single unit.
  • a plurality of detection devices 17 may be provided corresponding to each of the plurality of positions.
  • the detection devices 17 are arranged so as to be stretched above the parking space 14.
  • the detection parameter storage unit 19 stores, for example, an infrared irradiation range as a detection range in advance.
  • the detection determination unit 20 determines whether an object is detected at each of the plurality of positions in the parking space 14.
  • the detection device 17 transmits a detection signal to the display determination device 18 when an object is detected in the parking space 14.
  • the detection signal includes, for example, information indicating where the object is detected at the plurality of positions.
  • Detecting an object at at least one of the plurality of positions in the parking space 14 means that at least a part of the vehicle body of the vehicle 16 exists in the parking space 14. That is, for example, the detection device 17 functions as a vehicle detection unit that detects the vehicle 16 in which at least a part of the vehicle body exists in the parking space 14 for one vehicle.
  • the parking space 14 When the parking space 14 is an empty vehicle, no object is detected at all of the plurality of positions in the parking space 14. When the vehicle 16 is properly parked in the parking space 14, an object is detected at all of the plurality of positions in the parking space 14. When the vehicle 16 is illegally parked in the parking space 14, the object is not detected at all of the plurality of positions in the parking space 14, but the object is detected in at least one location.
  • the number of positions where the object is detected by the detection device 17 is information representing the proportion of the parking space 14 occupied by the vehicle 16.
  • the detection device 17 determines whether there is a change in the state of the detection range based on the number of positions where the object is detected. For example, when the number of positions where an object is detected has not increased or decreased, the detection device 17 determines “no change”. For example, when the number of positions where an object is detected is increased or decreased, the detection device 17 determines that “there is a change”. A case where the state of the detection range of the detection device 17 changes is, for example, a case where the vehicle 16 is performing a parking act. Note that the detection device 17 may determine whether there is a change in the state of the detection range using the position where the object is detected.
  • the detection device 17 determines whether or not the vehicle 16 has completed the parking action based on the number of positions where the object is detected.
  • the detection device 17 determines that the vehicle 16 is continuing the parking action while the number of positions where the object is detected changes within a preset first time.
  • the first time is, for example, 10 seconds.
  • the detection device 17 determines that the vehicle 16 has completed the parking action when the number of positions where the object has been detected has not changed for a preset second time or more.
  • the second time is, for example, 60 seconds. That is, the detection device 17 determines whether or not the vehicle 16 has completed the parking action based on the presence or absence of a change in the proportion of the parking space 14 occupied by the vehicle 16.
  • the parking determination unit 9 may perform parking determination based on the number of positions where an object is detected by the detection device 17, for example. That is, the parking determination part 9 should just perform parking determination based on the ratio for which the vehicle 16 accounts among the parking spaces 14, for example.
  • the parking determination unit 9 may perform the parking determination using the position where the object is detected by the detection device 17 itself.
  • FIG. 14 is a flowchart showing an operation example of the parking lot monitoring system according to the third embodiment.
  • the detection device 17 observes the parking space 14 (step S401), and determines whether or not an object has been detected (step S402). If it is determined in step S402 that no object is detected, the parking space 14 is repeatedly observed.
  • step S402 If it is determined in step S402 that no object is detected, it means that the parking action has not started. On the other hand, if it is determined in step S402 that an object has been detected, it means that the parking action has been started.
  • the detection device 17 transmits a detection signal to the display determination device 18 (step S403).
  • the display determination device 18 receives the detection signal (step S404).
  • the display determination device 18 performs information analysis based on the detection signal (step S405). By this information analysis, information indicating where the parking action has started among a plurality of positions in the parking space 14 is detected.
  • the detection device 17 observes the parking space 14 (step S406), and determines whether or not the state of the detection range has changed (step S407). If it is determined in step S407 that there is a change, the parking space 14 is repeatedly observed.
  • step S407 It is determined that there is a change in step S407 that the parking action is ongoing. On the other hand, determining that there is no change in step S407 means that the parking action has been completed.
  • the detection device 17 transmits a completion signal to the display determination device 18 (step S408).
  • the display determination device 18 receives the completion signal (step S409).
  • the display determination device 18 performs information analysis based on the completion signal (step S410). By this information analysis, information indicating where the parking action is completed among a plurality of positions in the parking space 14 is detected.
  • the display determination apparatus 18 performs parking determination (step S411).
  • the display determination device 18 displays information indicating the determination result on the determination result display unit 12 (step S412).
  • the vehicle detection unit is a detection device 17 that detects the presence or absence of objects at a plurality of positions in the parking space 14. Also in this case, it can be determined whether or not the vehicle 16 is properly parked based on the proportion of the parking space 14 occupied by the vehicle 16. For this reason, according to Embodiment 3, in addition to the presence or absence of a parked vehicle, it can be determined whether the vehicle is illegally parked.
  • the parking lot monitoring system in the third embodiment includes a configuration common to the first and second embodiments. For this reason, according to the third embodiment, similar to the first and second embodiments, an effect based on the configuration can be obtained.
  • FIG. 15 is a hardware configuration diagram of the parking lot monitoring system.
  • the processing circuit may be dedicated hardware 50.
  • the processing circuit may include a processor 51 and a memory 52.
  • a part of the processing circuit is formed as dedicated hardware 50, and may further include a processor 51 and a memory 52.
  • FIG. 15 shows an example in which the processing circuit is partly formed as dedicated hardware 50 and includes a processor 51 and a memory 52.
  • the processing circuit may be, for example, a single circuit, a composite circuit, a programmed processor, a parallel programmed processor, an ASIC, an FPGA, or the like. The combination is applicable.
  • each function of the image analysis unit 8, the parking determination unit 9, the display control unit 13, and the detection determination unit 20 is software, firmware, or software and firmware. It is realized by the combination.
  • Software and firmware are described as programs and stored in the memory 52.
  • the processor 51 reads out and executes the program stored in the memory 52, thereby realizing the function of each unit.
  • the processor 51 is also referred to as a CPU (Central Processing Unit), a central processing unit, a processing unit, an arithmetic unit, a microprocessor, a microcomputer, and a DSP.
  • the memory 52 corresponds to, for example, a nonvolatile or volatile semiconductor memory such as a RAM, a ROM, a flash memory, an EPROM, and an EEPROM, a magnetic disk, a flexible disk, an optical disk, a compact disk, a mini disk, and a DVD.
  • a nonvolatile or volatile semiconductor memory such as a RAM, a ROM, a flash memory, an EPROM, and an EEPROM, a magnetic disk, a flexible disk, an optical disk, a compact disk, a mini disk, and a DVD.
  • the processing circuit can realize each function of the parking lot monitoring system by hardware, software, firmware, or a combination thereof.
  • the present invention can be applied to a parking lot.

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Abstract

Provided is a parking lot monitoring system capable of determining whether a vehicle is illegaly parked or not. A parking lot monitoring system according to the present invention is provided with: a vehicle detection unit for detecting a vehicle 16 that exists in a parking space 14; and a parking determination unit 9 for determining whether the vehicle 16 is appropriately parked on the basis of a proportion of the parking space 14 occupied by the vehicle 16 detected by the vehicle detection unit. The vehicle detection unit is, for example, an image analysis unit 8 for analyzing an image taken by an image pickup device 1 of which an image-taking range includes the parking space 14.

Description

駐車場監視システムParking lot monitoring system
　本発明は、駐車場監視システムに関する。 The present invention relates to a parking lot monitoring system.
　下記特許文献１には、駐車場管理方法が記載されている。この管理方法では、丸印が描画された駐車スペースを撮影した画像に基づいて、当該駐車スペースにおける車両の有無が判定される。 The following Patent Document 1 describes a parking lot management method. In this management method, the presence or absence of a vehicle in the parking space is determined based on an image of the parking space on which a circle is drawn.
日本特開平１１－０３１２９６号公報Japanese Unexamined Patent Publication No. 11-031296
　特許文献１に記載の方法では、車両の有無については判定し得るが、車両が不正駐車されているか否かを判定できない。 The method described in Patent Document 1 can determine whether or not a vehicle is present, but cannot determine whether or not the vehicle is illegally parked.
　本発明は、上記の課題を解決するためになされた。その目的は、車両が不正駐車されているか否かを判定できる駐車場監視システムを提供することである。 The present invention has been made to solve the above problems. The purpose is to provide a parking lot monitoring system that can determine whether or not a vehicle is illegally parked.
　本発明に係る駐車場監視システムは、駐車スペースに存在する車両を検出する車両検出部と、駐車スペースのうち車両検出部により検出された車両が占める割合に基づいて、当該車両が適正に駐車されているか否かを判定する駐車判定部と、を備えたものである。 In the parking lot monitoring system according to the present invention, the vehicle is properly parked based on a vehicle detection unit that detects a vehicle present in the parking space and a ratio of the vehicle detected by the vehicle detection unit in the parking space. And a parking determination unit that determines whether or not
　本発明に係る駐車場監視システムにおいて、駐車判定部は、駐車スペースのうち車両検出部により検出された車両が占める割合に基づいて、当該車両が適正に駐車されているか否かを判定する。このため、本発明によれば、車両が不正駐車されているか否かを判定することができる。 In the parking lot monitoring system according to the present invention, the parking determination unit determines whether or not the vehicle is properly parked based on the proportion of the parking space occupied by the vehicle detected by the vehicle detection unit. For this reason, according to this invention, it can be determined whether the vehicle is parked illegally.
実施の形態１における駐車場監視システムの構成図である。1 is a configuration diagram of a parking lot monitoring system in Embodiment 1. FIG. 実施の形態１における駐車スペースを示す第１の平面図である。FIG. 3 is a first plan view showing a parking space in the first embodiment. 実施の形態１における駐車スペースを示す第２の平面図である。FIG. 6 is a second plan view showing a parking space in the first embodiment. 実施の形態１における駐車スペースを示す第３の平面図である。FIG. 10 is a third plan view showing a parking space in the first embodiment. 実施の形態１における駐車スペースを示す第４の平面図である。FIG. 6 is a fourth plan view showing a parking space in the first embodiment. 実施の形態１における駐車場監視システムの動作例を示すフローチャートである。4 is a flowchart showing an operation example of the parking lot monitoring system in the first embodiment. 実施の形態１における駐車判定の一例を示すフローチャートである。5 is a flowchart illustrating an example of parking determination in the first embodiment. 実施の形態２における駐車スペースを示す第１の平面図である。FIG. 10 is a first plan view showing a parking space in a second embodiment. 実施の形態２における駐車スペースを示す第２の平面図である。It is a 2nd top view which shows the parking space in Embodiment 2. FIG. 実施の形態２における駐車スペースを示す第３の平面図である。FIG. 10 is a third plan view showing a parking space in the second embodiment. 実施の形態２における駐車スペースを示す第４の平面図である。FIG. 10 is a fourth plan view showing a parking space in the second embodiment. 実施の形態２における駐車判定の一例を示すフローチャートである。10 is a flowchart illustrating an example of parking determination in the second embodiment. 実施の形態３における駐車場監視システムの構成図である。It is a block diagram of the parking lot monitoring system in Embodiment 3. 実施の形態３における駐車場監視システムの動作例を示すフローチャートである。10 is a flowchart illustrating an operation example of the parking lot monitoring system according to the third embodiment. 駐車場監視システムのハードウェア構成図である。It is a hardware block diagram of a parking lot monitoring system.
　添付の図面を参照して、本発明を詳細に説明する。各図では、同一又は相当する部分に同一の符号を付している。重複する説明は、適宜簡略化あるいは省略する。 The present invention will be described in detail with reference to the accompanying drawings. In each figure, the same or corresponding parts are denoted by the same reference numerals. The overlapping description will be simplified or omitted as appropriate.
実施の形態１．
　図１は、実施の形態１における駐車場監視システムの構成図である。 Embodiment 1 FIG.
FIG. 1 is a configuration diagram of a parking lot monitoring system according to the first embodiment.
　図１に示すように、駐車場監視システムは、撮像装置１、録画装置２及び表示装置３を備える。撮像装置１は、例えば、駐車場に設置されたカメラ等である。録画装置２は、例えば、撮像装置１と通信可能なレコーダ等である。表示装置３は、例えば、録画装置２と通信可能なパソコン等である。表示装置３は、例えば、駐車場の監視員及び警備員等によって視認可能な場所に設置されている。 As shown in FIG. 1, the parking lot monitoring system includes an imaging device 1, a recording device 2, and a display device 3. The imaging device 1 is, for example, a camera installed in a parking lot. The recording device 2 is, for example, a recorder that can communicate with the imaging device 1. The display device 3 is, for example, a personal computer that can communicate with the recording device 2. The display device 3 is installed in a place where it can be visually recognized by, for example, a parking lot monitor and a guard.
　図１に示すように、撮像装置１は、撮影パラメータ記憶部４及び画像撮影部５を有する。録画装置２は、録画パラメータ記憶部６、画像記憶部７、画像解析部８及び駐車判定部９を有する。表示装置３は、表示パラメータ記憶部１０、画像表示部１１、判定結果表示部１２及び表示制御部１３を有する。画像表示部１１及び判定結果表示部１２は、一体に形成されていてもよい。 As shown in FIG. 1, the imaging apparatus 1 includes a shooting parameter storage unit 4 and an image shooting unit 5. The recording device 2 includes a recording parameter storage unit 6, an image storage unit 7, an image analysis unit 8, and a parking determination unit 9. The display device 3 includes a display parameter storage unit 10, an image display unit 11, a determination result display unit 12, and a display control unit 13. The image display unit 11 and the determination result display unit 12 may be integrally formed.
　図２は、実施の形態１における駐車スペースを示す第１の平面図である。図２は、駐車スペース１４に車両が存在しない場合を示している。 FIG. 2 is a first plan view showing the parking space in the first embodiment. FIG. 2 shows a case where there is no vehicle in the parking space 14.
　駐車スペース１４は、例えば、一台の車両が駐車可能な大きさに設定されている。駐車スペース１４内の床面には、複数のマーク１５が設けられている。図２は、駐車スペース１４に８つのマーク１５が設けられた場合を例示している。複数のマーク１５は、例えば、一定の間隔で並ぶように配置されている。マーク１５は、例えば、床面に描画された点である。マーク１５は、例えば、駐車場の床面の色とは異なる色を呈する。 The parking space 14 is set to a size that allows one vehicle to park, for example. A plurality of marks 15 are provided on the floor surface in the parking space 14. FIG. 2 illustrates a case where eight marks 15 are provided in the parking space 14. The plurality of marks 15 are arranged, for example, so as to be arranged at regular intervals. The mark 15 is, for example, a point drawn on the floor surface. The mark 15 exhibits a color different from the color of the floor surface of the parking lot, for example.
　図３は、実施の形態１における駐車スペースを示す第２の平面図である。図４は、実施の形態１における駐車スペースを示す第３の平面図である。図５は、実施の形態１における駐車スペースを示す第４の平面図である。図３から図５は、駐車スペース１４に車両１６が存在する場合を示している。 FIG. 3 is a second plan view showing the parking space in the first embodiment. FIG. 4 is a third plan view showing the parking space in the first embodiment. FIG. 5 is a fourth plan view showing the parking space in the first embodiment. 3 to 5 show a case where the vehicle 16 is present in the parking space 14.
　図３は、車両１６が駐車スペース１４に駐車するために移動している状態を示している。つまり、図３に示す車両１６は、駐車行為を継続中である。 FIG. 3 shows a state in which the vehicle 16 is moving in order to park in the parking space 14. That is, the vehicle 16 shown in FIG. 3 is continuing the parking act.
　図４は、車体の全体が駐車スペース１４内に位置するように車両１６が停止している状態を示している。つまり、図４に示す車両１６は、駐車スペース１４に適正に駐車されている。図４に示すように、車両１６が適正に駐車された場合には、複数のマーク１５の全てが車両１６で隠される。以下、車体の全体が駐車スペース１４内に位置するように車両１６を駐車することを「適正駐車」とも呼ぶ。 FIG. 4 shows a state in which the vehicle 16 is stopped so that the entire vehicle body is located in the parking space 14. That is, the vehicle 16 shown in FIG. 4 is properly parked in the parking space 14. As shown in FIG. 4, when the vehicle 16 is properly parked, all of the plurality of marks 15 are hidden by the vehicle 16. Hereinafter, parking the vehicle 16 so that the entire vehicle body is located in the parking space 14 is also referred to as “appropriate parking”.
　図５は、車体の一部分だけが駐車スペース１４内に位置するように車両１６が停止している状態を示している。つまり、図５に示す車両１６は、駐車スペース１４に適正に駐車されていない。図５に示すように、車両１６が適正に駐車されなかった場合には、複数のマーク１５のうち一部は車両１６で隠されない。以下、車体の一部分だけが駐車スペース１４内に位置するように車両１６を駐車することを「不正駐車」とも呼ぶ。 FIG. 5 shows a state where the vehicle 16 is stopped so that only a part of the vehicle body is located in the parking space 14. That is, the vehicle 16 shown in FIG. 5 is not properly parked in the parking space 14. As shown in FIG. 5, when the vehicle 16 is not properly parked, some of the plurality of marks 15 are not hidden by the vehicle 16. Hereinafter, parking the vehicle 16 so that only a part of the vehicle body is located in the parking space 14 is also referred to as “illegal parking”.
　撮像装置１は、例えば、駐車スペース１４の上方に配置されている。撮像装置１の位置及び向きは、撮影範囲に駐車スペース１４を含むように設定されている。各マーク１５は、撮像装置１の位置から見て、駐車スペース１４に車両が適正に駐車されている状態で当該車両に隠れる位置に設けられている。 The imaging device 1 is disposed, for example, above the parking space 14. The position and orientation of the imaging device 1 are set so as to include the parking space 14 in the shooting range. Each mark 15 is provided at a position hidden from the vehicle when the vehicle is properly parked in the parking space 14 when viewed from the position of the imaging device 1.
　撮影パラメータ記憶部４は、撮影を行う時間間隔及び撮影される画像の画質等を予め記憶している。画像撮影部５は、撮影パラメータ記憶部４に記憶されている設定に基づいて、撮影範囲の画像を撮影する。撮像装置１は、画像撮影部５により撮影された画像を録画装置２に送信する。 The shooting parameter storage unit 4 stores in advance the time interval for shooting and the image quality of the shot image. The image photographing unit 5 photographs an image in the photographing range based on the settings stored in the photographing parameter storage unit 4. The imaging device 1 transmits the image captured by the image capturing unit 5 to the recording device 2.
　録画パラメータ記憶部６は、録画を行う時間間隔及び録画される画像の画質等を予め記憶している。画像記憶部７は、録画パラメータ記憶部６に記憶されている設定に基づいて、撮像装置１から送信された画像を画像データとして記憶する。 The recording parameter storage unit 6 stores in advance the time interval for recording and the image quality of recorded images. The image storage unit 7 stores the image transmitted from the imaging device 1 as image data based on the settings stored in the recording parameter storage unit 6.
　画像解析部８は、画像記憶部７に記憶されている画像の画像解析を行う。実施の形態１において、画像解析部８は、画像に映っているマーク１５の個数を検出する。 The image analysis unit 8 performs image analysis of the image stored in the image storage unit 7. In the first embodiment, the image analysis unit 8 detects the number of marks 15 shown in the image.
　画像解析部８によるマーク１５の個数の検出は、例えば、画像の特定の箇所の色に基づいて行われる。この場合、録画装置２には、各マーク１５の位置に対応する座標及び色を示すＲＧＢ値が予め登録されている。画像解析部８は、例えば、撮像装置１により撮影された画像におけるマーク１５の位置に対応する座標の色をＲＧＢ値として取得する。画像解析部８は、画像の当該座標から取得したＲＧＢ値と予め登録されたＲＧＢ値が一致するか否かを判定する。この判定は、画像における各マーク１５の位置に対応する座標ごとに実施される。つまり、この判定は、実際に駐車スペース１４に設けられているマーク１５の個数分だけ繰り返し実施される。画像解析部８は、画像から取得したＲＧＢ値と予め登録されたＲＧＢ値が一致すると判定された合計回数を当該画像に映っているマーク１５の個数として検出する。 The detection of the number of marks 15 by the image analysis unit 8 is performed based on the color of a specific part of the image, for example. In this case, RGB values indicating coordinates and colors corresponding to the positions of the marks 15 are registered in the recording device 2 in advance. For example, the image analysis unit 8 acquires the color of the coordinate corresponding to the position of the mark 15 in the image captured by the imaging device 1 as an RGB value. The image analysis unit 8 determines whether or not the RGB value acquired from the coordinates of the image matches the RGB value registered in advance. This determination is performed for each coordinate corresponding to the position of each mark 15 in the image. That is, this determination is repeatedly performed by the number of marks 15 actually provided in the parking space 14. The image analysis unit 8 detects the total number of times when it is determined that the RGB value acquired from the image matches the RGB value registered in advance as the number of marks 15 in the image.
　実際に駐車スペース１４に設けられているマーク１５の全数とは異なる個数が画像解析部８により検出されることは、１つ以上のマーク１５が車両１６で隠されていることを意味する。つまり、画像解析部８は、例えば、一台分の駐車スペース１４内に車体の少なくとも一部分が存在する車両１６を検出する車両検出部として働く。 Actually, the number of marks 15 that are different from the total number of marks 15 provided in the parking space 14 is detected by the image analysis unit 8 means that one or more marks 15 are hidden by the vehicle 16. That is, for example, the image analysis unit 8 functions as a vehicle detection unit that detects the vehicle 16 in which at least a part of the vehicle body exists in the parking space 14 for one vehicle.
　駐車スペース１４が空車である場合、画像解析部８により検出されるマーク１５の個数は、駐車スペース１４に設けられているマーク１５の全数と等しくなる。駐車スペース１４に車両１６が適正駐車されている場合、画像解析部８により検出されるマーク１５の個数は、ゼロとなる。駐車スペース１４に車両１６が不正駐車されている場合、画像解析部８により検出されるマーク１５の個数は、マーク１５の全数よりも少なく且つゼロでない数となる。画像解析部８により検出されるマーク１５の個数は、駐車スペース１４のうち車両１６が占める割合を表す情報である。 When the parking space 14 is an empty vehicle, the number of marks 15 detected by the image analysis unit 8 is equal to the total number of marks 15 provided in the parking space 14. When the vehicle 16 is properly parked in the parking space 14, the number of marks 15 detected by the image analysis unit 8 is zero. When the vehicle 16 is illegally parked in the parking space 14, the number of marks 15 detected by the image analysis unit 8 is smaller than the total number of marks 15 and is not zero. The number of marks 15 detected by the image analysis unit 8 is information representing the proportion of the parking space 14 occupied by the vehicle 16.
　画像解析部８は、画像に映っているマーク１５の個数に基づいて、撮影範囲の状況に変化があるか否かを判定する。画像解析部８は、例えば、２番目に新しい画像のマーク１５の個数と最新の画像のマーク１５の個数とが同じである場合、「変化なし」と判定する。画像解析部８は、例えば、２番目に新しい画像のマーク１５の個数と最新の画像のマーク１５の個数とが異なっている場合、「変化あり」と判定する。撮影範囲の状況が変化する場合とは、例えば、車両１６が駐車行為を行っている場合である。 The image analysis unit 8 determines whether there is a change in the state of the shooting range based on the number of marks 15 shown in the image. For example, when the number of the second new image mark 15 is the same as the number of the latest image mark 15, the image analysis unit 8 determines “no change”. For example, if the number of the second new image mark 15 is different from the number of the latest image mark 15, the image analysis unit 8 determines “changed”. The case where the situation of the shooting range changes is, for example, a case where the vehicle 16 is parking.
　画像解析部８は、画像に映っているマーク１５の個数に基づいて、車両１６が駐車行為を完了したか否かを判定する。画像解析部８は、検出されるマーク１５の個数が予め設定された第１の時間内に変化している間は、車両１６が駐車行為を継続中であると判定する。第１の時間は、例えば、１０秒である。画像解析部８は、検出されるマーク１５の個数が予め設定された第２の時間以上の間変化していない場合は、車両１６が駐車行為を完了したと判定する。第２の時間は、例えば、６０秒である。つまり、画像解析部８は、駐車スペース１４のうち車両１６が占める割合の変化の有無に基づいて、車両１６が駐車行為を完了したか否かを判定する。 The image analysis unit 8 determines whether or not the vehicle 16 has completed the parking action based on the number of marks 15 shown in the image. The image analysis unit 8 determines that the vehicle 16 is continuing the parking action while the number of detected marks 15 is changing within a preset first time. The first time is, for example, 10 seconds. The image analysis unit 8 determines that the vehicle 16 has completed the parking action when the number of the detected marks 15 has not changed for a preset second time or more. The second time is, for example, 60 seconds. That is, the image analysis unit 8 determines whether or not the vehicle 16 has completed the parking action based on the presence or absence of a change in the proportion of the parking space 14 occupied by the vehicle 16.
　駐車判定部９は、画像解析部８により車両１６が駐車行為を完了したと判定された場合に、当該車両１６の駐車判定を行う。駐車判定部９は、画像解析部８により車両１６が駐車行為を継続中であると判定されている間は、当該車両１６の駐車判定を行わない。駐車判定とは、車両１６が適正に駐車されているか否かを判定することである。駐車判定の判定結果は、例えば、適正駐車、不正駐車及び空車のうちいずれかの駐車状況として表される。 The parking determination unit 9 performs parking determination of the vehicle 16 when the image analysis unit 8 determines that the vehicle 16 has completed the parking action. The parking determination unit 9 does not perform the parking determination of the vehicle 16 while the image analysis unit 8 determines that the vehicle 16 is continuing the parking action. Parking determination is determining whether the vehicle 16 is parked appropriately. The determination result of the parking determination is expressed as, for example, any parking situation among appropriate parking, unauthorized parking, and empty vehicle.
　実施の形態１において、駐車判定部９は、画像解析部８により画像から検出されたマーク１５の個数に基づいて駐車判定を行う。つまり、駐車判定部９は、駐車スペース１４のうち車両１６が占める割合に基づいて駐車判定を行う。録画装置２は、駐車判定の対象となった画像及び当該駐車判定の判定結果を表示装置３に送信する。 In Embodiment 1, the parking determination unit 9 performs parking determination based on the number of marks 15 detected from the image by the image analysis unit 8. That is, the parking determination unit 9 performs parking determination based on the ratio of the parking space 14 to the vehicle 16. The recording device 2 transmits the image subjected to the parking determination and the determination result of the parking determination to the display device 3.
　表示パラメータ記憶部１０は、表示を行う時間間隔及び表示の画質等を予め記憶している。画像表示部１１及び判定結果表示部１２は、情報を表示する機能を有する。表示制御部１３は、表示パラメータ記憶部１０に記憶されている設定に基づいて、画像表示部１１及び判定結果表示部１２に情報を表示させる。表示制御部１３は、駐車判定の対象となった画像を画像表示部１１に表示させる。表示制御部１３は、当該駐車判定の判定結果を示す情報を判定結果表示部１２に表示させる。 The display parameter storage unit 10 stores in advance the time interval for display and the image quality of display. The image display unit 11 and the determination result display unit 12 have a function of displaying information. The display control unit 13 causes the image display unit 11 and the determination result display unit 12 to display information based on the settings stored in the display parameter storage unit 10. The display control unit 13 causes the image display unit 11 to display an image subjected to parking determination. The display control unit 13 causes the determination result display unit 12 to display information indicating the determination result of the parking determination.
　図６は、実施の形態１における駐車場監視システムの動作例を示すフローチャートである。 FIG. 6 is a flowchart showing an operation example of the parking lot monitoring system according to the first embodiment.
　撮像装置１は、画像を撮影し（ステップＳ１０１）、当該画像を録画装置２に送信する（ステップＳ１０２）。録画装置２は、当該画像を受信し（ステップＳ１０３）、画像解析を行う（ステップＳ１０４）。録画装置２は、撮影範囲の状況に変化があるか否かを判定する（ステップＳ１０５）。ステップＳ１０５で変化がないと判定された場合、ステップＳ１０１からステップＳ１０４の処理である撮影、送受信及び解析が繰り返し行われる。 The imaging device 1 captures an image (step S101) and transmits the image to the recording device 2 (step S102). The recording device 2 receives the image (step S103) and performs image analysis (step S104). The recording device 2 determines whether or not there is a change in the shooting range (step S105). If it is determined in step S105 that there is no change, the imaging, transmission / reception, and analysis, which are the processes in steps S101 to S104, are repeated.
　ステップＳ１０５で変化がないと判定されることは、駐車行為が開始されていないことを意味する。一方、ステップＳ１０５で変化があると判定されることは、駐車行為が開始されていることを意味する。 If it is determined that there is no change in step S105, it means that the parking action has not started. On the other hand, when it is determined in step S105 that there is a change, it means that the parking action is started.
　ステップＳ１０５で変化があると判定された場合、撮像装置１は、画像を撮影し（ステップＳ１０６）、当該画像を録画装置２に送信する（ステップＳ１０７）。録画装置２は、当該画像を受信し（ステップＳ１０８）、画像解析を行う（ステップＳ１０９）。録画装置２は、撮影範囲の状況に変化があるか否かを判定する（ステップＳ１１０）。ステップＳ１１０で変化があると判定された場合、ステップＳ１０６からステップＳ１０９の処理である撮影、送受信及び解析が繰り返し行われる。 If it is determined in step S105 that there is a change, the imaging device 1 captures an image (step S106) and transmits the image to the recording device 2 (step S107). The recording device 2 receives the image (step S108) and performs image analysis (step S109). The recording device 2 determines whether there is a change in the situation of the shooting range (step S110). If it is determined in step S110 that there is a change, the imaging, transmission / reception, and analysis, which are the processes from step S106 to step S109, are repeated.
　ステップＳ１１０で変化があると判定されることは、駐車行為が継続中であることを意味する。一方、ステップＳ１１０で変化がないと判定されることは、駐車行為が完了したことを意味する。 It is determined in step S110 that there is a change means that the parking action is ongoing. On the other hand, determining that there is no change in step S110 means that the parking act has been completed.
　ステップＳ１１０で変化がないと判定された場合、録画装置２は、駐車判定を行い（ステップＳ１１１）、判定結果を表示装置３に送信する（ステップＳ１１２）。表示装置３は、判定結果を受信し（ステップＳ１１３）、当該判定結果を示す情報を判定結果表示部１２に表示させる（ステップＳ１１４）。また、表示制御部１３は、駐車判定の対象となった画像を画像表示部１１に表示させる。 When it is determined in step S110 that there is no change, the recording device 2 performs parking determination (step S111) and transmits the determination result to the display device 3 (step S112). The display device 3 receives the determination result (step S113), and displays information indicating the determination result on the determination result display unit 12 (step S114). Further, the display control unit 13 causes the image display unit 11 to display an image subjected to parking determination.
　図７は、実施の形態１における駐車判定の一例を示すフローチャートである。 FIG. 7 is a flowchart showing an example of parking determination in the first embodiment.
　駐車判定部９は、全てのマーク１５が隠れているか否かを判定する（ステップＳ２０１）。つまり、ステップＳ２０１では、画像解析部８により検出されたマーク１５の個数がゼロであるか否かが判定される。ステップＳ２０１で全てのマーク１５が隠れていると判定された場合、駐車判定部９は、駐車スペース１４に車両１６が適正駐車されていると判定する（ステップＳ２０２）。 The parking determination part 9 determines whether all the marks 15 are hidden (step S201). That is, in step S201, it is determined whether or not the number of marks 15 detected by the image analysis unit 8 is zero. When it is determined in step S201 that all the marks 15 are hidden, the parking determination unit 9 determines that the vehicle 16 is properly parked in the parking space 14 (step S202).
　ステップＳ２０１で全てのマーク１５が隠れているわけではないと判定された場合、駐車判定部９は、一部のマーク１５だけが隠れているか否かを判定する（ステップＳ２０３）。つまり、ステップＳ２０３では、画像解析部８により検出されたマーク１５の個数が全数より少なく且つゼロでない数であるか否かが判定される。ステップＳ２０３で一部のマーク１５だけが隠れていると判定された場合、駐車判定部９は、駐車スペース１４に車両１６が不正駐車されていると判定する（ステップＳ２０４）。 When it is determined in step S201 that all the marks 15 are not hidden, the parking determination unit 9 determines whether only some of the marks 15 are hidden (step S203). That is, in step S203, it is determined whether or not the number of marks 15 detected by the image analysis unit 8 is less than the total number and not zero. When it is determined in step S203 that only some of the marks 15 are hidden, the parking determination unit 9 determines that the vehicle 16 is illegally parked in the parking space 14 (step S204).
　ステップＳ２０３で一部のマーク１５だけが隠れているわけではないと判定されることは、全てのマーク１５が見えていることを意味する。この場合、駐車判定部９は、駐車スペース１４が空車であると判定する（ステップＳ２０５）。 It is determined in step S203 that only some of the marks 15 are not hidden means that all the marks 15 are visible. In this case, the parking determination unit 9 determines that the parking space 14 is an empty vehicle (step S205).
　実施の形態１において、車両検出部は、一台分の駐車スペース１４内に車体の少なくとも一部分が存在する車両１６を検出する。駐車判定部９は、駐車スペース１４のうち車両検出部により検出された車両１６が占める割合に基づいて、当該車両１６が適正に駐車されているか否かを判定する。このため、実施の形態１によれば、駐車車両の有無に加えて、車両が不正駐車されているか否かを判定することができる。 In Embodiment 1, the vehicle detection unit detects the vehicle 16 in which at least a part of the vehicle body exists in the parking space 14 for one vehicle. The parking determination unit 9 determines whether or not the vehicle 16 is properly parked based on the proportion of the parking space 14 occupied by the vehicle 16 detected by the vehicle detection unit. For this reason, according to Embodiment 1, in addition to the presence or absence of a parked vehicle, it can be determined whether the vehicle is illegally parked.
　実施の形態１において、車両検出部は、駐車スペース１４のうち車両１６が占める割合が一定時間内に変化している間は、当該車両１６が駐車行為を継続中であると判定する。駐車判定部９は、車両検出部により車両１６が駐車行為を継続中であると判定されている間は、当該車両１６が適正に駐車されているか否かの判定を行わない。このため、実施の形態１によれば、駐車行為が完了していない状態の車両が不正駐車されていると誤判定されることを防止できる。 In the first embodiment, the vehicle detection unit determines that the vehicle 16 is continuing the parking action while the ratio of the parking space 14 occupied by the vehicle 16 changes within a certain time. The parking determination unit 9 does not determine whether or not the vehicle 16 is properly parked while the vehicle detection unit determines that the vehicle 16 is continuing the parking action. For this reason, according to Embodiment 1, it can prevent misjudging that the vehicle of the state which has not completed the parking act is illegally parked.
　実施の形態１において、車両検出部は、駐車スペース１４のうち車両１６が占める割合が一定時間変化していない場合は、当該車両１６が駐車行為を完了したと判定する。駐車判定部９は、車両検出部により車両１６が駐車行為を完了したと判定された後に、当該車両１６が適正に駐車されているか否かの判定を行う。このため、実施の形態１によれば、駐車行為が完了した状態の車両について駐車状況を判定できる。 In Embodiment 1, the vehicle detection unit determines that the vehicle 16 has completed the parking action when the proportion of the parking space 14 occupied by the vehicle 16 has not changed for a certain period of time. The parking determination unit 9 determines whether or not the vehicle 16 is properly parked after the vehicle detection unit determines that the vehicle 16 has completed the parking action. For this reason, according to Embodiment 1, a parking condition can be determined about the vehicle of the state which the parking act was completed.
　実施の形態１において、車両検出部は、撮影範囲に駐車スペース１４を含む撮像装置１によって撮影された画像を解析する画像解析部８である。駐車スペース１４の床面は、車両１６が適正に駐車されている状態で当該車両１６に隠れる位置に設けられた複数のマーク１５を有する。画像解析部８は、駐車スペース１４のうち車両１６が占める割合を表す情報として、撮像装置１によって撮影された画像に映っているマーク１５の個数を検出する。駐車判定部９は、画像解析部８により検出されたマーク１５の個数に基づいて、駐車スペース１４に車両１６が適正に駐車されているか否かを判定する。このため、実施の形態１によれば、単純な画像解析により、車両の有無だけでなく不正駐車も検出可能な駐車場監視システムを実現できる。その結果、例えば、専用のソフトウェアを使用することなく、単純な機器構成及び演算処理で効率的に不正駐車を発見することが可能となる。 In Embodiment 1, the vehicle detection unit is an image analysis unit 8 that analyzes an image photographed by the imaging device 1 including the parking space 14 in the photographing range. The floor surface of the parking space 14 has a plurality of marks 15 provided at positions hidden by the vehicle 16 in a state where the vehicle 16 is properly parked. The image analysis unit 8 detects the number of marks 15 shown in the image taken by the imaging device 1 as information representing the proportion of the parking space 14 occupied by the vehicle 16. The parking determination unit 9 determines whether or not the vehicle 16 is properly parked in the parking space 14 based on the number of marks 15 detected by the image analysis unit 8. For this reason, according to Embodiment 1, it is possible to realize a parking lot monitoring system capable of detecting not only the presence of a vehicle but also unauthorized parking by simple image analysis. As a result, for example, unauthorized parking can be efficiently discovered with a simple device configuration and arithmetic processing without using dedicated software.
　実施の形態１において、表示装置３は、撮像装置１によって撮影された画像及び当該画像を対象とした駐車判定部９による判定結果を示す情報を表示する。このため、実施の形態１によれば、例えば、駐車場の監視員及び警備員等に対して、理解し易い形で駐車状況を報知することができる。 In Embodiment 1, the display device 3 displays an image captured by the imaging device 1 and information indicating a determination result by the parking determination unit 9 for the image. For this reason, according to Embodiment 1, it is possible to notify the parking situation in an easily understandable manner to, for example, a parking lot monitor and a guard.
　実施の形態１において、画像解析部８は、画像に映っていないマーク１５の個数を検出してもよい。画像解析部８は、画像に映っていないマーク１５の個数に基づいて、車両１６が駐車行為を完了したか否かを判定してもよい。駐車判定部９は、画像解析部８により画像から検出されなかったマーク１５の個数に基づいて駐車判定を行ってもよい。つまり、駐車判定部９は、駐車スペース１４のうち車両検出部により検出された車両１６が占めていない割合に基づいて、当該車両１６が適正に駐車されているか否かを判定してもよい。この場合であっても、駐車車両の有無に加えて、車両が不正駐車されているか否かを判定することができる。 In Embodiment 1, the image analysis unit 8 may detect the number of marks 15 that are not shown in the image. The image analysis unit 8 may determine whether or not the vehicle 16 has completed the parking action based on the number of marks 15 that are not shown in the image. The parking determination unit 9 may perform parking determination based on the number of marks 15 that are not detected from the image by the image analysis unit 8. That is, the parking determination unit 9 may determine whether or not the vehicle 16 is properly parked based on the proportion of the parking space 14 that is not occupied by the vehicle 16 detected by the vehicle detection unit. Even in this case, in addition to the presence or absence of a parked vehicle, it can be determined whether or not the vehicle is illegally parked.
実施の形態２．
　以下、実施の形態１との相違点を中心に、駐車場監視システムの構成を説明する。実施の形態１と同一又は相当する部分には同一の符号を付して、一部の説明を省略する。 Embodiment 2. FIG.
Hereinafter, the configuration of the parking lot monitoring system will be described focusing on the differences from the first embodiment. Parts that are the same as or equivalent to those in the first embodiment are given the same reference numerals, and a part of the description is omitted.
　実施の形態２における駐車場監視システムの構成図は、図１と同様である。 The configuration diagram of the parking lot monitoring system in the second embodiment is the same as FIG.
　図８は、実施の形態２における駐車スペースを示す第１の平面図である。図８は、駐車スペース１４に車両が存在しない場合を示している。 FIG. 8 is a first plan view showing a parking space in the second embodiment. FIG. 8 shows a case where there is no vehicle in the parking space 14.
　実施の形態２において、駐車スペース１４内の床面は、例えば、縞模様又は市松模様等の模様を有する。図８は、駐車スペース１４が縞模様を有している場合を例示している。駐車スペース１４の模様は、例えば、床面に描画された繰り返しパターンである。駐車スペース１４の模様は、例えば、駐車場の床面の色とは異なる色を少なくとも１色は含む。 In Embodiment 2, the floor surface in the parking space 14 has a pattern such as a striped pattern or a checkered pattern, for example. FIG. 8 illustrates a case where the parking space 14 has a striped pattern. The pattern of the parking space 14 is, for example, a repeated pattern drawn on the floor surface. The pattern of the parking space 14 includes, for example, at least one color different from the color of the floor surface of the parking lot.
　図９は、実施の形態２における駐車スペースを示す第２の平面図である。図１０は、実施の形態２における駐車スペースを示す第３の平面図である。図１１は、実施の形態２における駐車スペースを示す第４の平面図である。図９から図１１は、駐車スペース１４に車両１６が存在する場合を示している。 FIG. 9 is a second plan view showing the parking space in the second embodiment. FIG. 10 is a third plan view showing a parking space in the second embodiment. FIG. 11 is a fourth plan view showing a parking space in the second embodiment. 9 to 11 illustrate a case where the vehicle 16 is present in the parking space 14.
　図９は、車両１６が駐車行為を継続中である状態を示している。図１０は、車両１６が適正駐車されている状態を示している。図１１は、車両１６が不正駐車されている状態を示している。 FIG. 9 shows a state where the vehicle 16 is continuing the parking act. FIG. 10 shows a state where the vehicle 16 is properly parked. FIG. 11 shows a state where the vehicle 16 is illegally parked.
　撮像装置１は、例えば、駐車スペース１４の上方に配置されている。撮像装置１の位置及び向きは、撮影範囲に駐車スペース１４を含むように設定されている。駐車スペース１４の模様は、撮像装置１の位置から見て、駐車スペース１４に車両が適正に駐車されている状態で大部分が当該車両に隠れるように形成されている。当該大部分とは、例えば、模様全体の８０％以上の領域である。 The imaging device 1 is disposed, for example, above the parking space 14. The position and orientation of the imaging device 1 are set so as to include the parking space 14 in the shooting range. The pattern of the parking space 14 is formed so that most of the pattern is hidden by the vehicle when the vehicle is properly parked in the parking space 14 when viewed from the position of the imaging device 1. The major part is, for example, an area of 80% or more of the entire pattern.
　画像解析部８は、画像記憶部７に記憶されている画像の画像解析を行う。実施の形態２において、画像解析部８は、画像に映っている模様の面積を検出する。なお、画像から検出される面積は、例えば、画素数で表されてもよいし、画像全体に対する百分率で表されてもよい。 The image analysis unit 8 performs image analysis of the image stored in the image storage unit 7. In the second embodiment, the image analysis unit 8 detects the area of the pattern shown in the image. Note that the area detected from the image may be represented by, for example, the number of pixels or a percentage of the entire image.
　画像解析部８による模様の面積の検出は、例えば、画像に含まれる各色に基づいて行われる。この場合、録画装置２には、模様を形成する全ての色を示すＲＧＢ値が予め登録されている。画像解析部８は、例えば、撮像装置１により撮影された画像に含まれている各色をＲＧＢ値として取得する。画像解析部８は、画像から取得した色が予め登録されたＲＧＢ値と一致するか否かを判定する。画像解析部８は、画像から取得した色のうち予め登録されたＲＧＢ値と一致した色が占める合計面積を当該画像に映っている模様の面積として検出する。 The detection of the pattern area by the image analysis unit 8 is performed based on each color included in the image, for example. In this case, RGB values indicating all colors forming the pattern are registered in the recording device 2 in advance. For example, the image analysis unit 8 acquires each color included in the image captured by the imaging device 1 as an RGB value. The image analysis unit 8 determines whether the color acquired from the image matches the RGB value registered in advance. The image analysis unit 8 detects the total area occupied by the color that matches the RGB value registered in advance among the colors acquired from the image as the area of the pattern shown in the image.
　実際に駐車スペース１４に形成されている模様の面積とは異なる面積が画像解析部８により検出されることは、模様の少なくとも一部分が車両１６で隠されていることを意味する。つまり、画像解析部８は、例えば、一台分の駐車スペース１４内に車体の少なくとも一部分が存在する車両１６を検出する車両検出部として働く。 The fact that the image analysis unit 8 detects an area different from the area of the pattern actually formed in the parking space 14 means that at least a part of the pattern is hidden by the vehicle 16. That is, for example, the image analysis unit 8 functions as a vehicle detection unit that detects the vehicle 16 in which at least a part of the vehicle body exists in the parking space 14 for one vehicle.
　駐車スペース１４が空車である場合、画像解析部８により検出される模様の面積は、駐車スペース１４に形成されている模様全体の面積と等しくなる。駐車スペース１４に車両１６が適正駐車されている場合、画像解析部８により検出される模様の面積は、駐車スペース１４に形成されている模様全体の一部分の面積となる。車両１６が適正駐車されている場合に検出される面積は、例えば、模様全体の面積の２０％未満である。駐車スペース１４に車両１６が不正駐車されている場合、画像解析部８により検出される模様の面積は、模様全体の一部分の面積よりも大きく且つ模様全体の面積と等しくない面積となる。車両１６が不正駐車されている場合に検出される面積は、例えば、模様全体の面積の２０％から９９％である。画像解析部８により検出される模様の面積は、駐車スペース１４のうち車両１６が占める割合を表す情報である。 When the parking space 14 is an empty vehicle, the area of the pattern detected by the image analysis unit 8 is equal to the area of the entire pattern formed in the parking space 14. When the vehicle 16 is properly parked in the parking space 14, the area of the pattern detected by the image analysis unit 8 is a partial area of the entire pattern formed in the parking space 14. The area detected when the vehicle 16 is properly parked is, for example, less than 20% of the entire pattern area. When the vehicle 16 is illegally parked in the parking space 14, the area of the pattern detected by the image analysis unit 8 is larger than the area of a part of the entire pattern and is not equal to the area of the entire pattern. The area detected when the vehicle 16 is illegally parked is, for example, 20% to 99% of the area of the entire pattern. The area of the pattern detected by the image analysis unit 8 is information representing the proportion of the parking space 14 occupied by the vehicle 16.
　画像解析部８は、画像に映っている模様の面積に基づいて、撮影範囲の状況に変化があるか否かを判定する。画像解析部８は、例えば、２番目に新しい画像の模様の面積と最新の画像の模様の面積とが同じである場合、「変化なし」と判定する。画像解析部８は、例えば、２番目に新しい画像の模様の面積と最新の画像の模様の面積とが異なっている場合、「変化あり」と判定する。撮影範囲の状況が変化する場合とは、例えば、車両１６が駐車行為を行っている場合である。 The image analysis unit 8 determines whether there is a change in the situation of the shooting range based on the area of the pattern reflected in the image. For example, when the area of the pattern of the second new image is the same as the area of the pattern of the latest image, the image analysis unit 8 determines “no change”. For example, when the area of the pattern of the second new image is different from the area of the pattern of the latest image, the image analysis unit 8 determines that “there is a change”. The case where the situation of the shooting range changes is, for example, a case where the vehicle 16 is parking.
　画像解析部８は、画像に映っている模様の面積に基づいて、車両１６が駐車行為を完了したか否かを判定する。画像解析部８は、検出される模様の面積が予め設定された第１の時間内に変化している間は、車両１６が駐車行為を継続中であると判定する。第１の時間は、例えば、１０秒である。画像解析部８は、検出される模様の面積が予め設定された第２の時間以上の間変化していない場合は、車両１６が駐車行為を完了したと判定する。第２の時間は、例えば、６０秒である。つまり、画像解析部８は、駐車スペース１４のうち車両１６が占める割合の変化の有無に基づいて、車両１６が駐車行為を完了したか否かを判定する。 The image analysis unit 8 determines whether or not the vehicle 16 has completed the parking action based on the area of the pattern shown in the image. The image analysis unit 8 determines that the vehicle 16 is continuing the parking action while the area of the detected pattern is changing within the preset first time. The first time is, for example, 10 seconds. The image analysis unit 8 determines that the vehicle 16 has completed the parking action when the area of the detected pattern has not changed for a preset second time or more. The second time is, for example, 60 seconds. That is, the image analysis unit 8 determines whether or not the vehicle 16 has completed the parking action based on the presence or absence of a change in the proportion of the parking space 14 occupied by the vehicle 16.
　実施の形態２において、駐車判定部９は、画像解析部８により画像から検出された模様の面積に基づいて駐車判定を行う。つまり、駐車判定部９は、駐車スペース１４のうち車両１６が占める割合に基づいて駐車判定を行う。録画装置２は、駐車判定の対象となった画像及び当該駐車判定の判定結果を表示装置３に送信する。 In Embodiment 2, the parking determination unit 9 performs parking determination based on the area of the pattern detected from the image by the image analysis unit 8. That is, the parking determination unit 9 performs parking determination based on the ratio of the parking space 14 to the vehicle 16. The recording device 2 transmits the image subjected to the parking determination and the determination result of the parking determination to the display device 3.
　実施の形態２における駐車場監視システムの動作例を示すフローチャートは、図６と同様である。 A flowchart showing an operation example of the parking lot monitoring system in the second embodiment is the same as that in FIG.
　図１２は、実施の形態２における駐車判定の一例を示すフローチャートである。 FIG. 12 is a flowchart showing an example of parking determination in the second embodiment.
　駐車判定部９は、模様の大部分が隠れているか否かを判定する（ステップＳ３０１）。つまり、ステップＳ３０１では、画像解析部８により検出された模様の面積が予め設定された値よりも小さいか否かが判定される。ステップＳ３０１で模様の大部分が隠れていると判定された場合、駐車判定部９は、駐車スペース１４に車両１６が適正駐車されていると判定する（ステップＳ３０２）。 The parking determination unit 9 determines whether most of the pattern is hidden (step S301). That is, in step S301, it is determined whether or not the area of the pattern detected by the image analysis unit 8 is smaller than a preset value. When it is determined in step S301 that most of the pattern is hidden, the parking determination unit 9 determines that the vehicle 16 is properly parked in the parking space 14 (step S302).
　ステップＳ３０１で模様の大部分が隠れているわけではないと判定された場合、駐車判定部９は、模様の一部分だけが隠れているか否かを判定する（ステップＳ３０３）。つまり、ステップＳ３０３では、画像解析部８により検出された模様の面積が予め設定された値以上であり且つ模様全体の面積と等しくない面積であるか否かが判定される。ステップＳ３０３で模様の一部分だけが隠れていると判定された場合、駐車判定部９は、駐車スペース１４に車両１６が不正駐車されていると判定する（ステップＳ３０４）。 If it is determined in step S301 that most of the pattern is not hidden, the parking determination unit 9 determines whether only a part of the pattern is hidden (step S303). That is, in step S303, it is determined whether or not the area of the pattern detected by the image analysis unit 8 is equal to or larger than a preset value and is not equal to the area of the entire pattern. When it is determined in step S303 that only a part of the pattern is hidden, the parking determination unit 9 determines that the vehicle 16 is illegally parked in the parking space 14 (step S304).
　ステップＳ３０３で模様の一部分だけが隠れているわけではないと判定されることは、模様全体が見えていることを意味する。この場合、駐車判定部９は、駐車スペース１４が空車であると判定する（ステップＳ３０５）。 It is determined in step S303 that only a part of the pattern is not hidden means that the entire pattern is visible. In this case, the parking determination unit 9 determines that the parking space 14 is an empty vehicle (step S305).
　実施の形態２において、車両検出部は、撮影範囲に駐車スペース１４を含む撮像装置１によって撮影された画像を解析する画像解析部８である。駐車スペース１４の床面は、模様を有している。画像解析部８は、駐車スペース１４のうち車両１６が占める割合を表す情報として、撮像装置１によって撮影された画像に映っている模様の面積を検出する。駐車判定部９は、画像解析部８により検出された模様の面積に基づいて、駐車スペース１４に車両１６が適正に駐車されているか否かを判定する。このため、実施の形態２によれば、単純な画像解析により、車両の有無だけでなく不正駐車も検出可能な駐車場監視システムを実現できる。その結果、例えば、専用のソフトウェアを使用することなく、単純な機器構成及び演算処理で効率的に不正駐車を発見することが可能となる。 In the second embodiment, the vehicle detection unit is an image analysis unit 8 that analyzes an image captured by the imaging device 1 including the parking space 14 in the imaging range. The floor surface of the parking space 14 has a pattern. The image analysis unit 8 detects the area of the pattern shown in the image taken by the imaging device 1 as information representing the proportion of the parking space 14 occupied by the vehicle 16. The parking determination unit 9 determines whether or not the vehicle 16 is properly parked in the parking space 14 based on the area of the pattern detected by the image analysis unit 8. For this reason, according to Embodiment 2, it is possible to realize a parking lot monitoring system capable of detecting not only the presence of a vehicle but also unauthorized parking by simple image analysis. As a result, for example, unauthorized parking can be efficiently discovered with a simple device configuration and arithmetic processing without using dedicated software.
　実施の形態２における駐車場監視システムは、実施の形態１と共通する構成を含んでいる。このため、実施の形態２によれば、実施の形態１と同様に、当該構成に基づいた効果が得られる。 The parking lot monitoring system in the second embodiment includes a configuration common to the first embodiment. For this reason, according to Embodiment 2, the effect based on the said structure is acquired similarly to Embodiment 1. FIG.
　実施の形態２において、画像解析部８は、画像に映っていない模様の面積を検出してもよい。画像解析部８は、画像に映っていない模様の面積に基づいて、車両１６が駐車行為を完了したか否かを判定してもよい。駐車判定部９は、画像解析部８により画像から検出されなかった模様の面積に基づいて駐車判定を行ってもよい。つまり、駐車判定部９は、駐車スペース１４のうち車両検出部により検出された車両１６が占めていない割合に基づいて、当該車両１６が適正に駐車されているか否かを判定してもよい。この場合であっても、駐車車両の有無に加えて、車両が不正駐車されているか否かを判定することができる。 In Embodiment 2, the image analysis unit 8 may detect the area of the pattern that is not reflected in the image. The image analysis unit 8 may determine whether or not the vehicle 16 has completed the parking action based on the area of the pattern not shown in the image. The parking determination unit 9 may perform parking determination based on the area of the pattern that has not been detected from the image by the image analysis unit 8. That is, the parking determination unit 9 may determine whether or not the vehicle 16 is properly parked based on the proportion of the parking space 14 that is not occupied by the vehicle 16 detected by the vehicle detection unit. Even in this case, in addition to the presence or absence of a parked vehicle, it can be determined whether or not the vehicle is illegally parked.
　実施の形態１及び２において、撮像装置１は、車両１６が駐車行為を行っている間には、車両１６が駐車行為を行っていない時よりも画像の撮影間隔を短くしてもよい。録画装置２は、車両１６が駐車行為を行っている間には、車両１６が駐車行為を行っていない時よりも画像の録画間隔を短くしてもよい。これらの場合、駐車状況が誤判定されることをさらに抑制できる。 In Embodiments 1 and 2, the imaging device 1 may shorten the image capturing interval while the vehicle 16 is performing the parking action, compared to when the vehicle 16 is not performing the parking action. The recording device 2 may shorten the image recording interval while the vehicle 16 is performing the parking action, compared to when the vehicle 16 is not performing the parking action. In these cases, erroneous determination of the parking situation can be further suppressed.
実施の形態３．
　以下、実施の形態１及び２との相違点を中心に、駐車場監視システムの構成を説明する。実施の形態１又は２と同一又は相当する部分には同一の符号を付して、一部の説明を省略する。 Embodiment 3 FIG.
Hereinafter, the configuration of the parking lot monitoring system will be described focusing on the differences from the first and second embodiments. Parts that are the same as or correspond to those in the first or second embodiment are denoted by the same reference numerals, and a part of the description is omitted.
　図１３は、実施の形態３における駐車場監視システムの構成図である。 FIG. 13 is a configuration diagram of the parking lot monitoring system according to the third embodiment.
　図１３に示すように、実施の形態３における駐車場監視システムは、検知装置１７及び表示判定装置１８を備える。検知装置１７は、例えば、駐車場に設置されたセンサ等である。表示判定装置１８は、例えば、検知装置１７と通信可能なパソコン等である。表示装置３は、例えば、駐車場の監視員及び警備員等によって視認可能な場所に設置されている。 As shown in FIG. 13, the parking lot monitoring system according to the third embodiment includes a detection device 17 and a display determination device 18. The detection device 17 is, for example, a sensor installed in a parking lot. The display determination device 18 is, for example, a personal computer that can communicate with the detection device 17. The display device 3 is installed in a place where it can be visually recognized by, for example, a parking lot monitor and a guard.
　図１３に示すように、検知装置１７は、検知パラメータ記憶部１９及び検知判定部２０を有する。表示判定装置１８は、駐車判定部９、表示パラメータ記憶部１０、判定結果表示部１２及び表示制御部１３を有する As shown in FIG. 13, the detection device 17 includes a detection parameter storage unit 19 and a detection determination unit 20. The display determination device 18 includes a parking determination unit 9, a display parameter storage unit 10, a determination result display unit 12, and a display control unit 13.
　検知装置１７は、例えば、駐車スペース１４の上方に配置されている。検知装置１７は、例えば、赤外線等の光を用いて物体の有無を検知する。検知装置１７は、駐車スペース１４内の複数の位置における物体の有無を検知する。検知装置１７は、例えば、単体で上記複数の位置にある物体を検知可能であってもよい。検知装置１７は、例えば、上記複数の位置のそれぞれに対応して複数設けられてもよい。検知装置１７は、複数設けられる場合、例えば、駐車スペース１４の上方に張り巡らされるように配置される。 The detection device 17 is disposed above the parking space 14, for example. The detection device 17 detects the presence or absence of an object using, for example, light such as infrared rays. The detection device 17 detects the presence or absence of an object at a plurality of positions in the parking space 14. For example, the detection device 17 may be capable of detecting an object at the plurality of positions as a single unit. For example, a plurality of detection devices 17 may be provided corresponding to each of the plurality of positions. When a plurality of detection devices 17 are provided, for example, the detection devices 17 are arranged so as to be stretched above the parking space 14.
　検知パラメータ記憶部１９は、例えば、赤外線の照射範囲等を検知範囲として予め記憶している。検知判定部２０は、駐車スペース１４内の上記複数の位置のそれぞれで物体が検知されたか否かを判定する。検知装置１７は、駐車スペース１４内で物体が検知された場合、検知信号を表示判定装置１８に送信する。検知信号は、例えば、上記複数の位置のどこで物体が検知されたかを示す情報を含む。 The detection parameter storage unit 19 stores, for example, an infrared irradiation range as a detection range in advance. The detection determination unit 20 determines whether an object is detected at each of the plurality of positions in the parking space 14. The detection device 17 transmits a detection signal to the display determination device 18 when an object is detected in the parking space 14. The detection signal includes, for example, information indicating where the object is detected at the plurality of positions.
　駐車スペース１４内の上記複数の位置のうち少なくとも一か所で物体が検知されることは、駐車スペース１４内に車両１６の車体の少なくとも一部分が存在することを意味する。つまり、検知装置１７は、例えば、一台分の駐車スペース１４内に車体の少なくとも一部分が存在する車両１６を検出する車両検出部として働く。 Detecting an object at at least one of the plurality of positions in the parking space 14 means that at least a part of the vehicle body of the vehicle 16 exists in the parking space 14. That is, for example, the detection device 17 functions as a vehicle detection unit that detects the vehicle 16 in which at least a part of the vehicle body exists in the parking space 14 for one vehicle.
　駐車スペース１４が空車である場合、駐車スペース１４内の上記複数の位置の全てにおいて物体が検知されない。駐車スペース１４に車両１６が適正駐車されている場合、駐車スペース１４内の上記複数の位置の全てにおいて物体が検知される。駐車スペース１４に車両１６が不正駐車されている場合、駐車スペース１４内の上記複数の位置の全てにおいて物体が検知されるわけではないが、少なくとも一か所において物体が検知される。検知装置１７により物体が検知される位置の数は、駐車スペース１４のうち車両１６が占める割合を表す情報である。 When the parking space 14 is an empty vehicle, no object is detected at all of the plurality of positions in the parking space 14. When the vehicle 16 is properly parked in the parking space 14, an object is detected at all of the plurality of positions in the parking space 14. When the vehicle 16 is illegally parked in the parking space 14, the object is not detected at all of the plurality of positions in the parking space 14, but the object is detected in at least one location. The number of positions where the object is detected by the detection device 17 is information representing the proportion of the parking space 14 occupied by the vehicle 16.
　検知装置１７は、物体が検知された位置の数に基づいて、検知範囲の状況に変化があるか否かを判定する。検知装置１７は、例えば、物体が検知される位置の数が増減していない場合、「変化なし」と判定する。検知装置１７は、例えば、物体が検知される位置の数が増減している場合、「変化あり」と判定する。検知装置１７の検知範囲の状況が変化する場合とは、例えば、車両１６が駐車行為を行っている場合である。なお、検知装置１７は、物体が検知された位置自体も用いて検知範囲の状況に変化があるか否かを判定してもよい。 The detection device 17 determines whether there is a change in the state of the detection range based on the number of positions where the object is detected. For example, when the number of positions where an object is detected has not increased or decreased, the detection device 17 determines “no change”. For example, when the number of positions where an object is detected is increased or decreased, the detection device 17 determines that “there is a change”. A case where the state of the detection range of the detection device 17 changes is, for example, a case where the vehicle 16 is performing a parking act. Note that the detection device 17 may determine whether there is a change in the state of the detection range using the position where the object is detected.
　検知装置１７は、物体が検知された位置の数に基づいて、車両１６が駐車行為を完了したか否かを判定する。検知装置１７は、物体が検知された位置の数が予め設定された第１の時間内に変化している間は、車両１６が駐車行為を継続中であると判定する。第１の時間は、例えば、１０秒である。検知装置１７は、物体が検知された位置の数が予め設定された第２の時間以上の間変化していない場合は、車両１６が駐車行為を完了したと判定する。第２の時間は、例えば、６０秒である。つまり、検知装置１７は、駐車スペース１４のうち車両１６が占める割合の変化の有無に基づいて、車両１６が駐車行為を完了したか否かを判定する。 The detection device 17 determines whether or not the vehicle 16 has completed the parking action based on the number of positions where the object is detected. The detection device 17 determines that the vehicle 16 is continuing the parking action while the number of positions where the object is detected changes within a preset first time. The first time is, for example, 10 seconds. The detection device 17 determines that the vehicle 16 has completed the parking action when the number of positions where the object has been detected has not changed for a preset second time or more. The second time is, for example, 60 seconds. That is, the detection device 17 determines whether or not the vehicle 16 has completed the parking action based on the presence or absence of a change in the proportion of the parking space 14 occupied by the vehicle 16.
　実施の形態３において、駐車判定部９は、例えば、検知装置１７により物体が検知された位置の数に基づいて駐車判定を行えばよい。つまり、駐車判定部９は、例えば、駐車スペース１４のうち車両１６が占める割合に基づいて駐車判定を行えばよい。なお、駐車判定部９は、検知装置１７により物体が検知された位置自体も用いて駐車判定を行ってもよい。 In Embodiment 3, the parking determination unit 9 may perform parking determination based on the number of positions where an object is detected by the detection device 17, for example. That is, the parking determination part 9 should just perform parking determination based on the ratio for which the vehicle 16 accounts among the parking spaces 14, for example. The parking determination unit 9 may perform the parking determination using the position where the object is detected by the detection device 17 itself.
　図１４は、実施の形態３における駐車場監視システムの動作例を示すフローチャートである。 FIG. 14 is a flowchart showing an operation example of the parking lot monitoring system according to the third embodiment.
　検知装置１７は、駐車スペース１４の観測を実施し（ステップＳ４０１）、物体が検知されたか否かを判定する（ステップＳ４０２）。ステップＳ４０２で物体が検知されていないと判定された場合、駐車スペース１４の観測が繰り返し行われる。 The detection device 17 observes the parking space 14 (step S401), and determines whether or not an object has been detected (step S402). If it is determined in step S402 that no object is detected, the parking space 14 is repeatedly observed.
　ステップＳ４０２で物体が検知されていないと判定されることは、駐車行為が開始されていないことを意味する。一方、ステップＳ４０２で物体が検知されたと判定されることは、駐車行為が開始されていることを意味する。 If it is determined in step S402 that no object is detected, it means that the parking action has not started. On the other hand, if it is determined in step S402 that an object has been detected, it means that the parking action has been started.
　ステップＳ４０２で物体が検知されたと判定された場合、検知装置１７は、検知信号を表示判定装置１８に送信する（ステップＳ４０３）。表示判定装置１８は、検知信号を受信する（ステップＳ４０４）。表示判定装置１８は、検知信号に基づいて情報解析を行う（ステップＳ４０５）。この情報解析により、駐車スペース１４内の複数の位置のうちどこで駐車行為が始まったのかという情報が検出される。 If it is determined in step S402 that an object has been detected, the detection device 17 transmits a detection signal to the display determination device 18 (step S403). The display determination device 18 receives the detection signal (step S404). The display determination device 18 performs information analysis based on the detection signal (step S405). By this information analysis, information indicating where the parking action has started among a plurality of positions in the parking space 14 is detected.
　検知装置１７は、駐車スペース１４の観測を実施し（ステップＳ４０６）、検知範囲の状況に変化があるか否かを判定する（ステップＳ４０７）。ステップＳ４０７で変化があると判定された場合、駐車スペース１４の観測が繰り返し行われる。 The detection device 17 observes the parking space 14 (step S406), and determines whether or not the state of the detection range has changed (step S407). If it is determined in step S407 that there is a change, the parking space 14 is repeatedly observed.
　ステップＳ４０７で変化があると判定されることは、駐車行為が継続中であることを意味する。一方、ステップＳ４０７で変化がないと判定されることは、駐車行為が完了したことを意味する。 It is determined that there is a change in step S407 that the parking action is ongoing. On the other hand, determining that there is no change in step S407 means that the parking action has been completed.
　ステップＳ４０７で変化がないと判定された場合、検知装置１７は、完了信号を表示判定装置１８に送信する（ステップＳ４０８）。表示判定装置１８は、完了信号を受信する（ステップＳ４０９）。表示判定装置１８、完了信号に基づいて情報解析を行う（ステップＳ４１０）。この情報解析により、駐車スペース１４内の複数の位置のうちどこで駐車行為が完了したのかという情報が検出される。 If it is determined in step S407 that there is no change, the detection device 17 transmits a completion signal to the display determination device 18 (step S408). The display determination device 18 receives the completion signal (step S409). The display determination device 18 performs information analysis based on the completion signal (step S410). By this information analysis, information indicating where the parking action is completed among a plurality of positions in the parking space 14 is detected.
　表示判定装置１８は、駐車判定を行う（ステップＳ４１１）。表示判定装置１８は、判定結果を示す情報を判定結果表示部１２に表示させる（ステップＳ４１２）。 The display determination apparatus 18 performs parking determination (step S411). The display determination device 18 displays information indicating the determination result on the determination result display unit 12 (step S412).
　実施の形態３において、車両検出部は、駐車スペース１４内の複数の位置における物体の有無を検知する検知装置１７である。この場合も、駐車スペース１４のうち車両１６が占める割合に基づいて、当該車両１６が適正に駐車されているか否かを判定できる。このため、実施の形態３によれば、駐車車両の有無に加えて、車両が不正駐車されているか否かを判定することができる。 In Embodiment 3, the vehicle detection unit is a detection device 17 that detects the presence or absence of objects at a plurality of positions in the parking space 14. Also in this case, it can be determined whether or not the vehicle 16 is properly parked based on the proportion of the parking space 14 occupied by the vehicle 16. For this reason, according to Embodiment 3, in addition to the presence or absence of a parked vehicle, it can be determined whether the vehicle is illegally parked.
　実施の形態３における駐車場監視システムは、実施の形態１及び２と共通する構成を含んでいる。このため、実施の形態３によれば、実施の形態１及び２と同様に、当該構成に基づいた効果が得られる。 The parking lot monitoring system in the third embodiment includes a configuration common to the first and second embodiments. For this reason, according to the third embodiment, similar to the first and second embodiments, an effect based on the configuration can be obtained.
　図１５は、駐車場監視システムのハードウェア構成図である。 FIG. 15 is a hardware configuration diagram of the parking lot monitoring system.
　駐車場監視システムにおける画像解析部８、駐車判定部９、表示制御部１３及び検知判定部２０の各機能は、処理回路により実現される。処理回路は、専用ハードウェア５０であってもよい。処理回路は、プロセッサ５１及びメモリ５２を備えていてもよい。処理回路は、一部が専用ハードウェア５０として形成され、更にプロセッサ５１及びメモリ５２を備えていてもよい。図１５は、処理回路が、その一部が専用ハードウェア５０として形成され、プロセッサ５１及びメモリ５２を備えている場合の例を示している。 Each function of the image analysis unit 8, the parking determination unit 9, the display control unit 13, and the detection determination unit 20 in the parking lot monitoring system is realized by a processing circuit. The processing circuit may be dedicated hardware 50. The processing circuit may include a processor 51 and a memory 52. A part of the processing circuit is formed as dedicated hardware 50, and may further include a processor 51 and a memory 52. FIG. 15 shows an example in which the processing circuit is partly formed as dedicated hardware 50 and includes a processor 51 and a memory 52.
　処理回路の少なくとも一部が、少なくとも１つの専用ハードウェア５０である場合、処理回路は、例えば、単一回路、複合回路、プログラム化したプロセッサ、並列プログラム化したプロセッサ、ＡＳＩＣ、ＦＰＧＡ、又はこれらを組み合わせたものが該当する。 When at least a part of the processing circuit is at least one dedicated hardware 50, the processing circuit may be, for example, a single circuit, a composite circuit, a programmed processor, a parallel programmed processor, an ASIC, an FPGA, or the like. The combination is applicable.
　処理回路が少なくとも１つのプロセッサ５１及び少なくとも１つのメモリ５２を備える場合、画像解析部８、駐車判定部９、表示制御部１３及び検知判定部２０の各機能は、ソフトウェア、ファームウェア、又はソフトウェアとファームウェアとの組み合わせにより実現される。ソフトウェア及びファームウェアはプログラムとして記述され、メモリ５２に格納される。プロセッサ５１は、メモリ５２に記憶されたプログラムを読み出して実行することにより、各部の機能を実現する。プロセッサ５１は、ＣＰＵ（Ｃｅｎｔｒａｌ　Ｐｒｏｃｅｓｓｉｎｇ　Ｕｎｉｔ）、中央処理装置、処理装置、演算装置、マイクロプロセッサ、マイクロコンピュータ、ＤＳＰとも呼ぶ。メモリ５２は、例えば、ＲＡＭ、ＲＯＭ、フラッシュメモリー、ＥＰＲＯＭ、ＥＥＰＲＯＭ等の、不揮発性又は揮発性の半導体メモリ、磁気ディスク、フレキシブルディスク、光ディスク、コンパクトディスク、ミニディスク、ＤＶＤ等が該当する。 When the processing circuit includes at least one processor 51 and at least one memory 52, each function of the image analysis unit 8, the parking determination unit 9, the display control unit 13, and the detection determination unit 20 is software, firmware, or software and firmware. It is realized by the combination. Software and firmware are described as programs and stored in the memory 52. The processor 51 reads out and executes the program stored in the memory 52, thereby realizing the function of each unit. The processor 51 is also referred to as a CPU (Central Processing Unit), a central processing unit, a processing unit, an arithmetic unit, a microprocessor, a microcomputer, and a DSP. The memory 52 corresponds to, for example, a nonvolatile or volatile semiconductor memory such as a RAM, a ROM, a flash memory, an EPROM, and an EEPROM, a magnetic disk, a flexible disk, an optical disk, a compact disk, a mini disk, and a DVD.
　このように、処理回路は、ハードウェア、ソフトウェア、ファームウェア、又はこれらの組み合わせによって、駐車場監視システムの各機能を実現することができる。 Thus, the processing circuit can realize each function of the parking lot monitoring system by hardware, software, firmware, or a combination thereof.
　以上のように、本発明は、駐車場に適用できる。 As described above, the present invention can be applied to a parking lot.
１　撮像装置
２　録画装置
３　表示装置
４　撮影パラメータ記憶部
５　画像撮影部
６　録画パラメータ記憶部
７　画像記憶部
８　画像解析部
９　駐車判定部
１０　表示パラメータ記憶部
１１　画像表示部
１２　判定結果表示部
１３　表示制御部
１４　駐車スペース
１５　マーク
１６　車両
１７　検知装置
１８　表示判定装置
１９　検知パラメータ記憶部
２０　検知判定部
５０　専用ハードウェア
５１　プロセッサ
５２　メモリ DESCRIPTION OF SYMBOLS 1 Imaging device 2 Recording device 3 Display device 4 Shooting parameter storage part 5 Image shooting part 6 Recording parameter storage part 7 Image storage part 8 Image analysis part 9 Parking determination part 10 Display parameter storage part 11 Image display part 12 Determination result display part 13 Display control unit 14 Parking space 15 Mark 16 Vehicle 17 Detection device 18 Display determination device 19 Detection parameter storage unit 20 Detection determination unit 50 Dedicated hardware 51 Processor 52 Memory

Claims (7)

  1. 　駐車スペースに存在する車両を検出する車両検出部と、
    　前記駐車スペースのうち前記車両検出部により検出された車両が占める割合に基づいて、当該車両が適正に駐車されているか否かを判定する駐車判定部と、
    を備えた駐車場監視システム。     A vehicle detection unit for detecting a vehicle present in the parking space;
    A parking determination unit that determines whether the vehicle is properly parked based on a proportion of the parking space occupied by the vehicle detected by the vehicle detection unit;
    Parking lot monitoring system equipped with.
  2. 　前記車両検出部は、前記駐車スペースのうち車両が占める割合が変化している間は当該車両が駐車行為を継続中であると判定し、
    　前記駐車判定部は、前記車両検出部により車両が駐車行為を継続中であると判定されている間は当該車両が適正に駐車されているか否かの判定を行わない請求項１に記載の駐車場監視システム。     The vehicle detection unit determines that the vehicle is continuing the parking act while the proportion of the vehicle in the parking space is changing,
    The parking determination unit according to claim 1, wherein the parking determination unit does not determine whether or not the vehicle is properly parked while the vehicle detection unit determines that the vehicle is continuing the parking action. Garage monitoring system.
  3. 　前記車両検出部は、前記駐車スペースのうち車両が占める割合が変化していない場合は当該車両が駐車行為を完了したと判定し、
    　前記駐車判定部は、前記車両検出部により車両が駐車行為を完了したと判定された後に当該車両が適正に駐車されているか否かの判定を行う請求項１又は２に記載の駐車場監視システム。     The vehicle detection unit determines that the vehicle has completed the parking act when the proportion of the parking space occupied by the vehicle has not changed,
    The parking lot monitoring system according to claim 1 or 2, wherein the parking determination unit determines whether or not the vehicle is properly parked after the vehicle detection unit determines that the vehicle has completed the parking action. .
  4. 　前記車両検出部は、撮影範囲に前記駐車スペースを含む撮像装置によって撮影された画像を解析する画像解析部であり、
    　前記駐車スペースは、車両が適正に駐車されている状態で当該車両に隠れる位置に設けられた複数のマークを有し、
    　前記画像解析部は、前記駐車スペースのうち車両が占める割合を表す情報として、前記撮像装置によって撮影された画像に映っているマークの個数を検出し、
    　前記駐車判定部は、前記画像解析部により検出されたマークの個数に基づいて、前記駐車スペースに車両が適正に駐車されているか否かを判定する請求項１から３のいずれか１項に記載の駐車場監視システム。     The vehicle detection unit is an image analysis unit that analyzes an image shot by an imaging device including the parking space in a shooting range,
    The parking space has a plurality of marks provided at positions hidden in the vehicle in a state where the vehicle is properly parked,
    The image analysis unit detects the number of marks shown in the image taken by the imaging device as information representing the proportion of the parking space occupied by the vehicle,
    The said parking determination part determines whether the vehicle is parked appropriately in the said parking space based on the number of the marks detected by the said image analysis part. Parking monitoring system.
  5. 　前記車両検出部は、撮影範囲に前記駐車スペースを含む撮像装置によって撮影された画像を解析する画像解析部であり、
    　前記駐車スペースは、模様を有し、
    　前記画像解析部は、前記駐車スペースのうち車両が占める割合を表す情報として、前記撮像装置によって撮影された画像に映っている模様の面積を検出し、
    　前記駐車判定部は、前記画像解析部により検出された模様の面積に基づいて、前記駐車スペースに車両が適正に駐車されているか否かを判定する請求項１から３のいずれか１項に記載の駐車場監視システム。     The vehicle detection unit is an image analysis unit that analyzes an image shot by an imaging device including the parking space in a shooting range,
    The parking space has a pattern,
    The image analysis unit detects an area of a pattern reflected in an image photographed by the imaging device as information representing a ratio of a vehicle in the parking space,
    The said parking determination part determines whether the vehicle is parked appropriately in the said parking space based on the area of the pattern detected by the said image analysis part. Parking monitoring system.
  6. 　前記撮像装置によって撮影された画像及び当該画像を対象とした前記駐車判定部による判定結果を示す情報を表示する表示装置を備えた請求項４又は５に記載の駐車場監視システム。 The parking lot monitoring system according to claim 4 or 5, further comprising a display device that displays an image captured by the imaging device and information indicating a determination result by the parking determination unit for the image.
  7. 　前記車両検出部は、前記駐車スペース内の複数の位置における物体の有無を検知する検知装置である請求項１から３のいずれか１項に記載の駐車場監視システム。 The parking lot monitoring system according to any one of claims 1 to 3, wherein the vehicle detection unit is a detection device that detects the presence or absence of an object at a plurality of positions in the parking space.
PCT/JP2016/072987 2016-08-04 2016-08-04 Parking lot monitoring system WO2018025381A1 (en)

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CN109944490A (en) * 2019-03-25 2019-06-28 西安艾润物联网技术服务有限责任公司 Stereo garage control method and device
CN111739175A (en) * 2020-08-11 2020-10-02 上海高德威智能交通***有限公司 Vehicle parking monitoring method and device

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JP2007066167A (en) * 2005-09-01 2007-03-15 Yamaha Corp Parking state detector

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JP2007066167A (en) * 2005-09-01 2007-03-15 Yamaha Corp Parking state detector

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* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN109944490A (en) * 2019-03-25 2019-06-28 西安艾润物联网技术服务有限责任公司 Stereo garage control method and device
CN111739175A (en) * 2020-08-11 2020-10-02 上海高德威智能交通***有限公司 Vehicle parking monitoring method and device

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